https://m2.mtmt.hu/ eng 2026-04-16 17:39 Book 32596945 APPROVED true 0 false 2026-02-26T11:36:50.947+0000 2023-07-07T10:31:48.663+0000 2022-01-17T10:56:29.663+0000 true 10063541 Károly István Artúr /api/author/10063541 Author István Artúr Károly (Deep learning / Machine learning) true 10063541 2026-04-14T11:45:38.834+0000 2026-04-14T11:45:38.834+0000 false false true 23 23 /api/publicationtype/23 PublicationType Book 3 true 23 Book true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Book 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Conference proceedings (Book) 345 true 10000144 true 1 /api/category/1 Category Scientific true 1 Proceedings 507 2022 true 273223 /api/conference/273223 true 10824 true 10028 /api/country/10028 Country Slovakia true 2144988 /api/city/10824 City Poprád, Slovakia true 1367111 Conference 20th IEEE Jubilee World Symposium on Applied Machine Intelligence and Informatics, SAMI 2022 2022-03-02 [Poprád, Slovakia] true true 2022 true true false true true false NONE 2026-02-26 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2022-02-28T12:20:36.653+0000 98 292 0 0 0 54 false false Language 10002 /api/language/10002 English Angol English true 2 true OrgAuthorship 109177552 /api/authorship/109177552 IEEE [ed.] 1 0.0 false false false false true false AuthorshipType 2 /api/authorshiptype/2 Editor -1 true -1 true false true PublicationIdentifier 20708495 /api/publicationidentifier/20708495 ISBN: 9781665497046 PlainSource 122 /api/publicationsource/122 ISBN PublicationSourceType 10002 /api/publicationsourcetype/10002 Egyéb false true true ISBN ISBN https://www.worldcat.org/search?q=isbn%3A@@@ true true 122 true 9781665497046 https://www.worldcat.org/search?q=isbn%3A9781665497046 false true PublicationIdentifier 20708496 /api/publicationidentifier/20708496 ISBN: 9781665497039 PlainSource 122 /api/publicationsource/122 ISBN PublicationSourceType 10002 /api/publicationsourcetype/10002 Egyéb false true true ISBN ISBN https://www.worldcat.org/search?q=isbn%3A@@@ true true 122 true 9781665497039 https://www.worldcat.org/search?q=isbn%3A9781665497039 false true Publisher 10134 /api/publisher/10134 IEEE Institute of Electrical and Electronics Engineers (IEEE) true 281 true City 10824 /api/city/10824 Poprád, Slovakia Country 10028 /api/country/10028 Slovakia true 2144988 true true 1367111 true BookChapter 32745778 /api/publication/32745778 Adám Balogh et al. Honeypot optimization based on CTF game. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 153-157 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218362 /api/publicationidentifier/21218362 DOI: 10.1109/SAMI54271.2022.9780835 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780835 https://doi.org/10.1109/SAMI54271.2022.9780835 false true PublicationIdentifier 21218363 /api/publicationidentifier/21218363 Scopus: 85132141970 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132141970 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132141970 false true 5 2022 true true true true true true true BookChapter 32729609 /api/publication/32729609 Ágnes Csiszárik-Kocsir et al. Generation-specific analysis of the pandemic’s impact on financial culture. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 201-205 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218407 /api/publicationidentifier/21218407 DOI: 10.1109/SAMI54271.2022.9780744 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780744 https://doi.org/10.1109/SAMI54271.2022.9780744 false true PublicationIdentifier 21218408 /api/publicationidentifier/21218408 Scopus: 85132208307 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132208307 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132208307 false true PublicationIdentifier 21654027 /api/publicationidentifier/21654027 Egyéb URL: https://ieeexplore.ieee.org/document/9780744 PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780744 https://ieeexplore.ieee.org/document/9780744 true true PublicationIdentifier 21654030 /api/publicationidentifier/21654030 Teljes dokumentum: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780744 PlainSource 39 /api/publicationsource/39 Full text PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Teljes dokumentum Full text @@@ true true 39 true IDENTICAL https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780744 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780744 true true 5 2022 true true true true true true true BookChapter 33721156 /api/publication/33721156 Aguir A.M. et al. Efficient Eye-tracking framework on Mobile devices. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 1-6 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true 6 2022 true true true true true true BookChapter 32729652 /api/publication/32729652 Andrea Tick et al. Hungarian Organizations’ Attitude toward the Protection against Industrial Espionage. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 243-248 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21108592 /api/publicationidentifier/21108592 DOI: 10.1109/SAMI54271.2022.9780825 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780825 https://doi.org/10.1109/SAMI54271.2022.9780825 true true PublicationIdentifier 24165304 /api/publicationidentifier/24165304 IEEE Xplore: https://ieeexplore.ieee.org/document/9780825 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true https://ieeexplore.ieee.org/document/9780825 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=https://ieeexplore.ieee.org/document/9780825 true true PublicationIdentifier 21218412 /api/publicationidentifier/21218412 Scopus: 85132193033 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132193033 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132193033 false true 6 2022 true true true true true true true BookChapter 32745723 /api/publication/32745723 Anikó Kopacz et al. Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 103-108 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21244439 /api/publicationidentifier/21244439 DOI: 10.1109/SAMI54271.2022.9780701 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780701 https://doi.org/10.1109/SAMI54271.2022.9780701 false true PublicationIdentifier 21518913 /api/publicationidentifier/21518913 Scopus: 85132165752 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132165752 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132165752 false true 6 2022 true true true true true true true BookChapter 32732538 /api/publication/32732538 Anikó Szarvák et al. Review the progress of threat and risk assessment on 5G network. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 353-357 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21244000 /api/publicationidentifier/21244000 DOI: 10.1109/SAMI54271.2022.9780829 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780829 https://doi.org/10.1109/SAMI54271.2022.9780829 false true PublicationIdentifier 21244001 /api/publicationidentifier/21244001 Scopus: 85132176934 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132176934 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132176934 false true 5 2022 true true true true true true true BookChapter 32852464 /api/publication/32852464 Asadova F et al. Fault detection in GPU-enabled Cloud Systems – An Overview. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 317-322 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21065547 /api/publicationidentifier/21065547 DOI: 10.1109/SAMI54271.2022.9780804 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1109/SAMI54271.2022.9780804 https://doi.org/10.1109/SAMI54271.2022.9780804 false true PublicationIdentifier 21214216 /api/publicationidentifier/21214216 SZTAKI: 10345 SwordSource 86 /api/publicationsource/86 SZTAKI PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true SZTAKI SZTAKI https://eprints.sztaki.hu/@@@ true true 86 true GOLD true 10345 https://eprints.sztaki.hu/10345 false true PublicationIdentifier 28252252 /api/publicationidentifier/28252252 IEEE Xplore: 9780804 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true 9780804 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780804 true true PublicationIdentifier 21214212 /api/publicationidentifier/21214212 Scopus: 85132204219 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132204219 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132204219 true true PublicationIdentifier 21065548 /api/publicationidentifier/21065548 Other URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780804 PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true GOLD true IDENTICAL https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780804 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780804 false true 6 2022 true true true true true https://doi.org/10.1109/SAMI54271.2022.9780804 true true BookChapter 32736525 /api/publication/32736525 Attila Érchegyi et al. Considering needs of the temperature dependence of a thermal conductivity coefficient at simulating thermal conduction tasks. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 177-180 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21102022 /api/publicationidentifier/21102022 DOI: 10.1109/SAMI54271.2022.9780754 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780754 https://doi.org/10.1109/SAMI54271.2022.9780754 false true PublicationIdentifier 21218697 /api/publicationidentifier/21218697 Scopus: 85132160214 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132160214 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132160214 false true 4 2022 true true true true true true BookChapter 32734696 /api/publication/32734696 Awudu Atinga et al. Preliminary Ideas on the Estimation of Parameter and Model Component Significance in Adaptive Control of Nonlinear Systems. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 305-310 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218702 /api/publicationidentifier/21218702 DOI: 10.1109/SAMI54271.2022.9780674 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780674 https://doi.org/10.1109/SAMI54271.2022.9780674 false true PublicationIdentifier 21218703 /api/publicationidentifier/21218703 Scopus: 85132204109 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132204109 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132204109 false true 6 2022 true true true true true true BookChapter 32907752 /api/publication/32907752 Barreto Saulo Cardoso et al. Training and Analysis of Hyperparameters in Neural Networks for Computer Vision Applications: A Didactic Approach. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 383-388 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21213172 /api/publicationidentifier/21213172 DOI: 10.1109/SAMI54271.2022.9780769 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780769 https://doi.org/10.1109/SAMI54271.2022.9780769 false true PublicationIdentifier 21213174 /api/publicationidentifier/21213174 IEEE Xplore: 9780769 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true IDENTICAL 9780769 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780769 false true PublicationIdentifier 22930709 /api/publicationidentifier/22930709 DEA: 343790 PlainSource 38 /api/publicationsource/38 DEA PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true DEA http://hdl.handle.net/2437/@@@ true true 38 true IDENTICAL 343790 http://hdl.handle.net/2437/343790 false true PublicationIdentifier 21213176 /api/publicationidentifier/21213176 Scopus: 85132135827 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132135827 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132135827 false true PublicationIdentifier 21213173 /api/publicationidentifier/21213173 Egyéb URL: https://ieeexplore.ieee.org/document/9780769/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780769/ https://ieeexplore.ieee.org/document/9780769/ false true PublicationIdentifier 21213175 /api/publicationidentifier/21213175 Google scholar: ukflPbcpxNEJ PlainSource 12 /api/publicationsource/12 Google scholar PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Google scholar http://scholar.Google.com/scholar?hl=en&lr=&cluster=@@@ true true 12 true IDENTICAL ukflPbcpxNEJ http://scholar.Google.com/scholar?hl=en&lr=&cluster=ukflPbcpxNEJ false true 6 2022 true true true true true true true BookChapter 32907338 /api/publication/32907338 Brecko Alexander et al. Applicability of OPC UA and REST in Edge Computing. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000255-000260 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21212129 /api/publicationidentifier/21212129 DOI: 10.1109/SAMI54271.2022.9780849 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780849 https://doi.org/10.1109/SAMI54271.2022.9780849 false true PublicationIdentifier 21212131 /api/publicationidentifier/21212131 Scopus: 85132139960 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132139960 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132139960 false true PublicationIdentifier 21212130 /api/publicationidentifier/21212130 Egyéb URL: https://ieeexplore.ieee.org/document/9780849/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780849/ https://ieeexplore.ieee.org/document/9780849/ false true 6 2022 true true true true true true BookChapter 33084683 /api/publication/33084683 Chovanec M. et al. Analysis of Attacks on Mail Service Infrastructure Based on Application Logs and NetFlow Protocol. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 77-82 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21659300 /api/publicationidentifier/21659300 DOI: 10.1109/SAMI54271.2022.9780690 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780690 https://doi.org/10.1109/SAMI54271.2022.9780690 false true PublicationIdentifier 21659299 /api/publicationidentifier/21659299 Scopus: 85132162276 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132162276 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132162276 false true PublicationIdentifier 29863303 /api/publicationidentifier/29863303 Other URL: https://ieeexplore.ieee.org/document/9780690/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780690/ https://ieeexplore.ieee.org/document/9780690/ false true 6 2022 true true true true false true true BookChapter 33084684 /api/publication/33084684 Chvoancova E. et al. Chord Analyzing Based on Signal Processing. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 35-40 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21659302 /api/publicationidentifier/21659302 DOI: 10.1109/SAMI54271.2022.9780687 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780687 https://doi.org/10.1109/SAMI54271.2022.9780687 false true PublicationIdentifier 21659301 /api/publicationidentifier/21659301 Scopus: 85132139206 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132139206 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132139206 false true PublicationIdentifier 29863305 /api/publicationidentifier/29863305 Other URL: https://ieeexplore.ieee.org/document/9780687/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780687/ https://ieeexplore.ieee.org/document/9780687/ false true 6 2022 true true true true false true true BookChapter 32851637 /api/publication/32851637 Csuzdi Domonkos et al. Evaluation of the log-homotopy particle flow filter for localisation. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 97-102 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21063393 /api/publicationidentifier/21063393 DOI: 10.1109/SAMI54271.2022.9780775 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/SAMI54271.2022.9780775 https://doi.org/10.1109/SAMI54271.2022.9780775 false true PublicationIdentifier 21226861 /api/publicationidentifier/21226861 Scopus: 85132188567 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85132188567 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132188567 false true PublicationIdentifier 21063394 /api/publicationidentifier/21063394 Egyéb URL: https://ieeexplore.ieee.org/document/9780775/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780775/ https://ieeexplore.ieee.org/document/9780775/ false true 6 2022 true true true true true true BookChapter 32745740 /api/publication/32745740 Erzsébet Nagy et al. Comparison of artificial neural network and ANFIS for parameter estimation of a tumor model. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 133-139 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21211966 /api/publicationidentifier/21211966 DOI: 10.1109/SAMI54271.2022.9780819 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780819 https://doi.org/10.1109/SAMI54271.2022.9780819 false true PublicationIdentifier 21211968 /api/publicationidentifier/21211968 Scopus: 85132132817 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132132817 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132132817 false true PublicationIdentifier 21211967 /api/publicationidentifier/21211967 Egyéb URL: https://ieeexplore.ieee.org/document/9780819/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780819/ https://ieeexplore.ieee.org/document/9780819/ false true 7 2022 true true true true true true true BookChapter 32732699 /api/publication/32732699 Ferenc Tolner et al. Application of MFV-robustified Correlation Coefficient for the Investigation of the Strength of Beta-convergence of EU NUTS regions. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 335-340 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21158293 /api/publicationidentifier/21158293 DOI: 10.1109/SAMI54271.2022.9780675 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780675 https://doi.org/10.1109/SAMI54271.2022.9780675 false true PublicationIdentifier 21239935 /api/publicationidentifier/21239935 Scopus: 85132193703 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132193703 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132193703 false true PublicationIdentifier 21158294 /api/publicationidentifier/21158294 Egyéb URL: https://ieeexplore.ieee.org/document/9780675/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780675/ https://ieeexplore.ieee.org/document/9780675/ false true 6 2022 true true true true true true true BookChapter 32732591 /api/publication/32732591 Gergely Kún et al. “Opened” or “Closed” RAN in 5G. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 347-351 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218789 /api/publicationidentifier/21218789 DOI: 10.1109/SAMI54271.2022.9780667 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780667 https://doi.org/10.1109/SAMI54271.2022.9780667 false true PublicationIdentifier 21218790 /api/publicationidentifier/21218790 Scopus: 85132147243 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132147243 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132147243 false true 5 2022 true true true true true true true BookChapter 32736709 /api/publication/32736709 Gergely Sebestyén et al. Battery Life Prediction Model of Sensor Nodes using Merged Data Collecting methods. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 31-34 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000398 /api/subtype/10000398 Chapter (Chapter in Book) Könyvfejezet Chapter PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 220 true 10000398 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21072598 /api/publicationidentifier/21072598 DOI: 10.1109/SAMI54271.2022.9780734 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780734 https://doi.org/10.1109/SAMI54271.2022.9780734 false true PublicationIdentifier 21243947 /api/publicationidentifier/21243947 Scopus: 85132139788 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132139788 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132139788 false true 4 2022 true true true false true true true BookChapter 32907274 /api/publication/32907274 Ghita Maria et al. Optimizing radiotherapy with chemotherapy using PKPD modeling for lung cancer *. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000299-000304 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21211989 /api/publicationidentifier/21211989 DOI: 10.1109/SAMI54271.2022.9780850 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780850 https://doi.org/10.1109/SAMI54271.2022.9780850 false true PublicationIdentifier 21211991 /api/publicationidentifier/21211991 Scopus: 85132153105 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132153105 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132153105 false true PublicationIdentifier 21211990 /api/publicationidentifier/21211990 Egyéb URL: https://ieeexplore.ieee.org/document/9780850/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780850/ https://ieeexplore.ieee.org/document/9780850/ false true 6 2022 true true true true true true BookChapter 32727198 /api/publication/32727198 György Molnár et al. Possibilities and Challenges of Monitoring and Evaluating Digital Education in Electronic Environments from a Pedagogical and Technological Perspective. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000069-000072 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21086412 /api/publicationidentifier/21086412 DOI: 10.1109/SAMI54271.2022.9780733 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780733 https://doi.org/10.1109/SAMI54271.2022.9780733 false true PublicationIdentifier 21212341 /api/publicationidentifier/21212341 Scopus: 85132144633 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132144633 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132144633 true true 4 2022 true true true true true true BookChapter 32907279 /api/publication/32907279 Hlinkova Miriam et al. Initial Design of Intelligent Decision-Making System for a Small Unmanned Airplane. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000041-000046 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21212002 /api/publicationidentifier/21212002 DOI: 10.1109/SAMI54271.2022.9780827 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780827 https://doi.org/10.1109/SAMI54271.2022.9780827 false true PublicationIdentifier 21212004 /api/publicationidentifier/21212004 Scopus: 85132161991 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132161991 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132161991 false true PublicationIdentifier 21212003 /api/publicationidentifier/21212003 Egyéb URL: https://ieeexplore.ieee.org/document/9780827/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780827/ https://ieeexplore.ieee.org/document/9780827/ false true 6 2022 true true true true false true true BookChapter 32732141 /api/publication/32732141 Horváth László. High Abstraction in Engineering Communication. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 431-436 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218823 /api/publicationidentifier/21218823 DOI: 10.1109/SAMI54271.2022.9780793 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780793 https://doi.org/10.1109/SAMI54271.2022.9780793 false true PublicationIdentifier 21218824 /api/publicationidentifier/21218824 Scopus: 85132190168 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132190168 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132190168 false true 6 2022 true true true true true true BookChapter 32870592 /api/publication/32870592 Ignéczi Gergő et al. A Clothoid-based Local Trajectory Planner with Extended Kalman Filter. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 467-472 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21112882 /api/publicationidentifier/21112882 DOI: 10.1109/SAMI54271.2022.9780857 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780857 https://doi.org/10.1109/SAMI54271.2022.9780857 false true PublicationIdentifier 21212295 /api/publicationidentifier/21212295 Scopus: 85132195321 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132195321 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132195321 true true PublicationIdentifier 21112883 /api/publicationidentifier/21112883 Egyéb URL: https://ieeexplore.ieee.org/document/9780857/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780857/ https://ieeexplore.ieee.org/document/9780857/ false true 6 2022 true true true true true true BookChapter 32736617 /api/publication/32736617 Ioan-Marius Pisak-Lukáts et al. Markov Clustering Based Future Selection for Brain Tumor Segmentation from Multi-Spectral MRI Records. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 165-170 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000398 /api/subtype/10000398 Chapter (Chapter in Book) Könyvfejezet Chapter PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 220 true 10000398 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21212027 /api/publicationidentifier/21212027 DOI: 10.1109/SAMI54271.2022.9780855 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780855 https://doi.org/10.1109/SAMI54271.2022.9780855 false true PublicationIdentifier 21244710 /api/publicationidentifier/21244710 Scopus: 85132177572 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132177572 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132177572 false true PublicationIdentifier 21212028 /api/publicationidentifier/21212028 Egyéb URL: https://ieeexplore.ieee.org/document/9780855/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780855/ https://ieeexplore.ieee.org/document/9780855/ false true 6 2022 true true true false true true true BookChapter 32872956 /api/publication/32872956 Istenes-Nemeth Roland et al. Development of a Hardware Simulator for a Micro Turbojet Engine. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 47-52 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21118396 /api/publicationidentifier/21118396 DOI: 10.1109/SAMI54271.2022.9780762 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780762 https://doi.org/10.1109/SAMI54271.2022.9780762 false true PublicationIdentifier 21226857 /api/publicationidentifier/21226857 Scopus: 85132201737 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132201737 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132201737 false true PublicationIdentifier 21118397 /api/publicationidentifier/21118397 Other URL: https://ieeexplore.ieee.org/document/9780762/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780762/ https://ieeexplore.ieee.org/document/9780762/ false true 6 2022 true true true true true true BookChapter 32736681 /api/publication/32736681 József Kopják et al. Energy Consumption Model of Senson Nodes using Merged Data Collecting Methods. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 27-30 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true 4 2022 true true true true true true true BookChapter 32732360 /api/publication/32732360 Judit Módné Takács et al. Stress-management skills among Dutch and Hungarian students. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 407-411 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21116909 /api/publicationidentifier/21116909 DOI: 10.1109/SAMI54271.2022.9780731 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780731 https://doi.org/10.1109/SAMI54271.2022.9780731 false true PublicationIdentifier 21243961 /api/publicationidentifier/21243961 Scopus: 85132132232 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132132232 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132132232 false true 5 2022 true true true true true true true BookChapter 32596965 /api/publication/32596965 Károly Artúr I et al. Automated Dataset Generation with Blender for Deep Learning-based Object Segmentation. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 329-333 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218438 /api/publicationidentifier/21218438 DOI: 10.1109/SAMI54271.2022.9780790 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780790 https://doi.org/10.1109/SAMI54271.2022.9780790 false true PublicationIdentifier 21735393 /api/publicationidentifier/21735393 REAL: 150229 SwordSource 36 /api/publicationsource/36 REAL PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true REAL REAL http://real.mtak.hu/@@@ true true 36 true CLOSED 150229 http://real.mtak.hu/150229 false true PublicationIdentifier 21218439 /api/publicationidentifier/21218439 Scopus: 85132169281 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132169281 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132169281 false true 5 2022 true true true true true true true BookChapter 32857034 /api/publication/32857034 Kocsany Laszlo et al. Development of a user interface for parking lot exploration. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 57-62 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21077040 /api/publicationidentifier/21077040 DOI: 10.1109/SAMI54271.2022.9780694 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/SAMI54271.2022.9780694 https://doi.org/10.1109/SAMI54271.2022.9780694 false true PublicationIdentifier 21226859 /api/publicationidentifier/21226859 Scopus: 85132198181 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85132198181 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132198181 false true PublicationIdentifier 21077041 /api/publicationidentifier/21077041 Egyéb URL: https://ieeexplore.ieee.org/document/9780694/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780694/ https://ieeexplore.ieee.org/document/9780694/ false true 6 2022 true true true true true true BookChapter 32865138 /api/publication/32865138 Kopjak Jozsef et al. Energy Consumption Model of Sensor Nodes using Merged Data Collecting Methods. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000027-000030 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21099481 /api/publicationidentifier/21099481 DOI: 10.1109/SAMI54271.2022.9780791 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780791 https://doi.org/10.1109/SAMI54271.2022.9780791 false true PublicationIdentifier 21218848 /api/publicationidentifier/21218848 Scopus: 85132198021 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132198021 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132198021 false true PublicationIdentifier 21099482 /api/publicationidentifier/21099482 Egyéb URL: https://ieeexplore.ieee.org/document/9780791/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780791/ https://ieeexplore.ieee.org/document/9780791/ false true 4 2022 true true true true true true true BookChapter 32851630 /api/publication/32851630 Lindenmaier Laszlo et al. Comparison of Sensor Data Fusion Algorithms for Automotive Perception System. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 89-96 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21063380 /api/publicationidentifier/21063380 DOI: 10.1109/SAMI54271.2022.9780789 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780789 https://doi.org/10.1109/SAMI54271.2022.9780789 false true PublicationIdentifier 21226863 /api/publicationidentifier/21226863 Scopus: 85132169652 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132169652 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132169652 false true PublicationIdentifier 21063381 /api/publicationidentifier/21063381 Egyéb URL: https://ieeexplore.ieee.org/document/9780789/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780789/ https://ieeexplore.ieee.org/document/9780789/ false true 8 2022 true true true true true true true BookChapter 33084682 /api/publication/33084682 Mados B. et al. Information Hiding Using Domain-Specific Hierarchical Data Structure Symmetry-aware Sparse Voxel Directed Acyclic Graphs. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 83-88 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21659298 /api/publicationidentifier/21659298 DOI: 10.1109/SAMI54271.2022.9780753 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780753 https://doi.org/10.1109/SAMI54271.2022.9780753 false true PublicationIdentifier 21659297 /api/publicationidentifier/21659297 Scopus: 85132198040 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132198040 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132198040 false true PublicationIdentifier 29863299 /api/publicationidentifier/29863299 Other URL: https://ieeexplore.ieee.org/document/9780753/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780753/ https://ieeexplore.ieee.org/document/9780753/ false true 6 2022 true true true true false true true BookChapter 32745753 /api/publication/32745753 Miklós Orsós et al. Log collection and SIEM for 5G SOC. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 147-151 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218860 /api/publicationidentifier/21218860 DOI: 10.1109/SAMI54271.2022.9780759 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780759 https://doi.org/10.1109/SAMI54271.2022.9780759 false true PublicationIdentifier 21218861 /api/publicationidentifier/21218861 Scopus: 85132148047 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132148047 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132148047 false true 5 2022 true true true true true true true BookChapter 32729600 /api/publication/32729600 Mónika Garai-Fodor et al. Generation-specific perceptions of financial literacy and digital solutions. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 193-200 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218889 /api/publicationidentifier/21218889 DOI: 10.1109/SAMI54271.2022.9780717 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780717 https://doi.org/10.1109/SAMI54271.2022.9780717 false true PublicationIdentifier 21218890 /api/publicationidentifier/21218890 Scopus: 85132160350 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132160350 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132160350 false true 8 2022 true true true true true true true BookChapter 32729570 /api/publication/32729570 Mónika Garai-Fodor et al. Perceptions of the digital generation and the millennials on online education during the pandemic. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 187-191 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21212439 /api/publicationidentifier/21212439 DOI: 10.1109/SAMI54271.2022.9780720 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780720 https://doi.org/10.1109/SAMI54271.2022.9780720 false true PublicationIdentifier 21240067 /api/publicationidentifier/21240067 Scopus: 85132170863 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132170863 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132170863 false true 5 2022 true true true true true true true BookChapter 32852471 /api/publication/32852471 Nemeth B. Route selection method with ethical considerations for automated vehicles under critical situations. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 419-424 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21065564 /api/publicationidentifier/21065564 DOI: 10.1109/SAMI54271.2022.9780742 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1109/SAMI54271.2022.9780742 https://doi.org/10.1109/SAMI54271.2022.9780742 false true PublicationIdentifier 22941797 /api/publicationidentifier/22941797 SZTAKI: 10495 SwordSource 86 /api/publicationsource/86 SZTAKI PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true SZTAKI SZTAKI https://eprints.sztaki.hu/@@@ true true 86 true GOLD true 10495 https://eprints.sztaki.hu/10495 false true PublicationIdentifier 21214933 /api/publicationidentifier/21214933 Scopus: 85132188146 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132188146 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132188146 true true PublicationIdentifier 21065565 /api/publicationidentifier/21065565 Teljes dokumentum: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780742 PlainSource 39 /api/publicationsource/39 Full text PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Teljes dokumentum Full text @@@ true true 39 true GOLD true IDENTICAL https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780742 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780742 false true 6 2022 true true true true true https://doi.org/10.1109/SAMI54271.2022.9780742 true true BookChapter 32736764 /api/publication/32736764 Ogbolu Melvin Omone et al. The Structural Diagram for the Development of Human Papillomavirus (HPV) and Cervical Cancer Risk Assessment. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 63-68 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21245584 /api/publicationidentifier/21245584 DOI: 10.1109/SAMI54271.2022.9780704 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780704 https://doi.org/10.1109/SAMI54271.2022.9780704 false true PublicationIdentifier 21245585 /api/publicationidentifier/21245585 Scopus: 85132184144 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132184144 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132184144 false true 6 2022 true true true true true true true BookChapter 32729639 /api/publication/32729639 Oszkár Dobos et al. How Generation Z managers think about the agility in a world of digitalization. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 207-212 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218909 /api/publicationidentifier/21218909 DOI: 10.1109/SAMI54271.2022.9780683 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780683 https://doi.org/10.1109/SAMI54271.2022.9780683 false true PublicationIdentifier 21218910 /api/publicationidentifier/21218910 Scopus: 85132132128 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132132128 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132132128 false true 6 2022 true true true true true true true BookChapter 33084681 /api/publication/33084681 Palsa J. et al. Configuration Honeypots with an Emphasis on Logging of the Attacks and Redundancy. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 73-76 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21659295 /api/publicationidentifier/21659295 DOI: 10.1109/SAMI54271.2022.9780801 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780801 https://doi.org/10.1109/SAMI54271.2022.9780801 false true PublicationIdentifier 21659294 /api/publicationidentifier/21659294 Scopus: 85132209275 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132209275 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132209275 false true PublicationIdentifier 29863295 /api/publicationidentifier/29863295 Other URL: https://ieeexplore.ieee.org/document/9780801/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780801/ https://ieeexplore.ieee.org/document/9780801/ false true 4 2022 true true true true false true true BookChapter 32732474 /api/publication/32732474 Péter János Varga et al. 5G RAN research in Óbuda University. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 359-365 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218924 /api/publicationidentifier/21218924 DOI: 10.1109/SAMI54271.2022.9780721 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780721 https://doi.org/10.1109/SAMI54271.2022.9780721 false true PublicationIdentifier 21218925 /api/publicationidentifier/21218925 Scopus: 85132144427 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132144427 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132144427 false true 7 2022 true true true true true true BookChapter 32732091 /api/publication/32732091 Philipp Rosenberger et al. A Generic Approach for Multivariate Process Optimization. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 485-490 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21108605 /api/publicationidentifier/21108605 DOI: 10.1109/SAMI54271.2022.9780740 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780740 https://doi.org/10.1109/SAMI54271.2022.9780740 true true PublicationIdentifier 24176773 /api/publicationidentifier/24176773 IEEE Xplore: 9780740 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true IDENTICAL 9780740 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780740 false true PublicationIdentifier 21218292 /api/publicationidentifier/21218292 Scopus: 85132209015 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132209015 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132209015 false true 6 2022 true true true true true true true BookChapter 33087078 /api/publication/33087078 Pomsar L. et al. Brief overview of Edge AI accelerators for energy-constrained edge. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 461-466 false true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21665619 /api/publicationidentifier/21665619 DOI: 10.1109/SAMI54271.2022.9780669 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780669 https://doi.org/10.1109/SAMI54271.2022.9780669 false true PublicationIdentifier 21665618 /api/publicationidentifier/21665618 Scopus: 85132163495 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132163495 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132163495 false true 6 2022 true true true true false true true BookChapter 32851636 /api/publication/32851636 Rakos Oliver et al. Maneuver Classification of Dynamic Occupancy Grid Time Series From Highway Traffic. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 109-114 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21063387 /api/publicationidentifier/21063387 DOI: 10.1109/SAMI54271.2022.9780697 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780697 https://doi.org/10.1109/SAMI54271.2022.9780697 false true PublicationIdentifier 21226867 /api/publicationidentifier/21226867 Scopus: 85132140355 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132140355 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132140355 false true PublicationIdentifier 21063388 /api/publicationidentifier/21063388 Egyéb URL: https://ieeexplore.ieee.org/document/9780697/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780697/ https://ieeexplore.ieee.org/document/9780697/ false true 6 2022 true true true true true true BookChapter 32736495 /api/publication/32736495 Suryakant Tyagi et al. Emotion Extraction from Speech using Deep Learning. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 181-185 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21246870 /api/publicationidentifier/21246870 DOI: 10.1109/SAMI54271.2022.9780779 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780779 https://doi.org/10.1109/SAMI54271.2022.9780779 false true PublicationIdentifier 28252246 /api/publicationidentifier/28252246 IEEE Xplore: 9780779 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true 9780779 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780779 true true PublicationIdentifier 21246871 /api/publicationidentifier/21246871 Scopus: 85132142497 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132142497 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132142497 false true 5 2022 true true true true true true true BookChapter 32851626 /api/publication/32851626 Szabo Adam et al. LPV-based modeling of a floating piston pneumatic actuator. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000141-000146 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21063367 /api/publicationidentifier/21063367 DOI: 10.1109/SAMI54271.2022.9780678 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780678 https://doi.org/10.1109/SAMI54271.2022.9780678 false true PublicationIdentifier 21213080 /api/publicationidentifier/21213080 IEEE Xplore: 9780678 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true IDENTICAL 9780678 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780678 true true PublicationIdentifier 21213081 /api/publicationidentifier/21213081 Scopus: 85132200303 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132200303 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132200303 true true PublicationIdentifier 21063368 /api/publicationidentifier/21063368 Egyéb URL: https://ieeexplore.ieee.org/document/9780678/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780678/ https://ieeexplore.ieee.org/document/9780678/ false true PublicationIdentifier 21213087 /api/publicationidentifier/21213087 Google scholar: D24vMMfQRNkJ PlainSource 12 /api/publicationsource/12 Google scholar PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Google scholar http://scholar.Google.com/scholar?hl=en&lr=&cluster=@@@ true true 12 true IDENTICAL D24vMMfQRNkJ http://scholar.Google.com/scholar?hl=en&lr=&cluster=D24vMMfQRNkJ true true 6 2022 true true true true true true BookChapter 32734676 /api/publication/32734676 Szenes Katalin et al. AI Assistant in a Smart Cloud. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 311-315 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218400 /api/publicationidentifier/21218400 DOI: 10.1109/SAMI54271.2022.9780843 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780843 https://doi.org/10.1109/SAMI54271.2022.9780843 false true PublicationIdentifier 21218402 /api/publicationidentifier/21218402 Scopus: 85132182698 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132182698 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132182698 false true PublicationIdentifier 21218401 /api/publicationidentifier/21218401 Egyéb URL: https://ieeexplore.ieee.org/document/9780843/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780843/ https://ieeexplore.ieee.org/document/9780843/ false true 5 2022 true true true true true true true BookChapter 32736582 /api/publication/32736582 Tamás Ferenci et al. Using non-stationary extreme value analysis to characterize blood glucose curves. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 171-175 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21219267 /api/publicationidentifier/21219267 DOI: 10.1109/SAMI54271.2022.9780743 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780743 https://doi.org/10.1109/SAMI54271.2022.9780743 false true PublicationIdentifier 26864489 /api/publicationidentifier/26864489 REAL: 200881 SwordSource 36 /api/publicationsource/36 REAL PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true REAL REAL http://real.mtak.hu/@@@ true true 36 true GREEN true 200881 http://real.mtak.hu/200881 false true PublicationIdentifier 21219268 /api/publicationidentifier/21219268 Scopus: 85132151256 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132151256 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132151256 false true 5 2022 true true true true true http://real.mtak.hu/200881 true true BookChapter 32732350 /api/publication/32732350 Tamas Kersanszki. Are we prepared to learn digital in the digital economy and society?. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 413-418 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21518731 /api/publicationidentifier/21518731 DOI: 10.1109/SAMI54271.2022.9780859 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780859 https://doi.org/10.1109/SAMI54271.2022.9780859 false true PublicationIdentifier 21518732 /api/publicationidentifier/21518732 Scopus: 85132141988 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132141988 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132141988 false true 6 2022 true true true true true true true BookChapter 32775033 /api/publication/32775033 Tóth Sz H et al. Autonomous Vehicle Drift With a Soft Actor-critic Reinforcement Learning Agent. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 15-20 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21065433 /api/publicationidentifier/21065433 DOI: 10.1109/SAMI54271.2022.9780803 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1109/SAMI54271.2022.9780803 https://doi.org/10.1109/SAMI54271.2022.9780803 false true PublicationIdentifier 21065465 /api/publicationidentifier/21065465 SZTAKI: 10336 SwordSource 86 /api/publicationsource/86 SZTAKI PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true SZTAKI SZTAKI https://eprints.sztaki.hu/@@@ true true 86 true GOLD true 10336 https://eprints.sztaki.hu/10336 false true PublicationIdentifier 21525995 /api/publicationidentifier/21525995 Scopus: 85132209560 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132209560 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132209560 false true PublicationIdentifier 21065434 /api/publicationidentifier/21065434 Teljes dokumentum: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780803 PlainSource 39 /api/publicationsource/39 Full text PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Teljes dokumentum Full text @@@ true true 39 true GOLD true IDENTICAL https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780803 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9780803 false true 6 2022 true true true true true https://doi.org/10.1109/SAMI54271.2022.9780803 true true BookChapter 32732756 /api/publication/32732756 Varga Bence et al. Adaptive Control of a Nonlinear System Avoiding State Estimation. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 323-328 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21218710 /api/publicationidentifier/21218710 DOI: 10.1109/SAMI54271.2022.9780781 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780781 https://doi.org/10.1109/SAMI54271.2022.9780781 false true PublicationIdentifier 21218711 /api/publicationidentifier/21218711 Scopus: 85132135859 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132135859 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132135859 false true 6 2022 true true true true true true BookChapter 32729528 /api/publication/32729528 Varga Zoltán et al. Experimental Investigation of the Performance of a Thermoelectric Generator. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 159-164 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21095757 /api/publicationidentifier/21095757 DOI: 10.1109/SAMI54271.2022.9780741 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780741 https://doi.org/10.1109/SAMI54271.2022.9780741 false true PublicationIdentifier 21219281 /api/publicationidentifier/21219281 Scopus: 85132178503 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132178503 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132178503 false true PublicationIdentifier 21095758 /api/publicationidentifier/21095758 Egyéb URL: https://ieeexplore.ieee.org/document/9780741/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://ieeexplore.ieee.org/document/9780741/ https://ieeexplore.ieee.org/document/9780741/ false true 6 2022 true true true true true true true BookChapter 32889561 /api/publication/32889561 Vetrab Mercedes et al. Handling the stochastic behaviour of the Bag-of-Audio-Words method. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 000021-000026 true true false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21172757 /api/publicationidentifier/21172757 DOI: 10.1109/SAMI54271.2022.9780776 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true RESTRICTED IDENTICAL 10.1109/SAMI54271.2022.9780776 https://doi.org/10.1109/SAMI54271.2022.9780776 false true PublicationIdentifier 21787108 /api/publicationidentifier/21787108 Scopus: 85132200559 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85132200559 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132200559 false true PublicationIdentifier 21172758 /api/publicationidentifier/21172758 Egyéb URL: https://ieeexplore.ieee.org/document/9780776/ PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/9780776/ https://ieeexplore.ieee.org/document/9780776/ false true 6 2022 true true true true true true true BookChapter 32732425 /api/publication/32732425 Zoltan Biczó et al. Safe Overfitting of Boosted Tree Algorithm in Heat Transfer Modeling. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 379-382 true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21219286 /api/publicationidentifier/21219286 DOI: 10.1109/SAMI54271.2022.9780808 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780808 https://doi.org/10.1109/SAMI54271.2022.9780808 false true PublicationIdentifier 28252243 /api/publicationidentifier/28252243 IEEE Xplore: 9780808 PlainSource 22 /api/publicationsource/22 IEEE Xplore PublicationSourceType 10004 /api/publicationsourcetype/10004 Kiadói adatbázis false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true 9780808 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=9780808 true true PublicationIdentifier 21219287 /api/publicationidentifier/21219287 Scopus: 85132178362 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132178362 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132178362 false true 4 2022 true true true true true true BookChapter 32736442 /api/publication/32736442 Zoltan Zakota et al. The Effects of the Covid-19 Pandemic on High School Education. (2022) In: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) true false false PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Conference paper (Chapter in Book) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Chapter in Book 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Scientific true 1 true Language 10002 /api/language/10002 English Angol English true 2 true PublicationIdentifier 21246897 /api/publicationidentifier/21246897 DOI: 10.1109/SAMI54271.2022.9780786 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780786 https://doi.org/10.1109/SAMI54271.2022.9780786 false true PublicationIdentifier 21246898 /api/publicationidentifier/21246898 Scopus: 85132177893 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132177893 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132177893 false true 2022 true true true true true true true /api/publication/32596945 IEEE [ed.]. IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022): Proceedings. (2022) ISBN:9781665497046; 9781665497039<div class="Book Publication long-list"> <div class="authors"> <div class="autype autype-1"> Editor: <span class="author-affil">IEEE</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32596945" target="_blank">IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) : Proceedings.</a></div><div class="conference"> Conference: <span class="location">Poprád, Slovakia <span class="conference-date">2022.03.02. - 2022.03.05.</span> </div><div class="publish-data"> <span class="published-at"> Poprád</span>: <span class="publishers">IEEE</span>, <span class="pages">507 p.</span> <span class="year">(2022)</span> </div> <span class="volume"> <span class="volumeTitle"></span> </span> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9781665497046" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665497046"> 9781665497046 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9781665497039" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665497039"> 9781665497039 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Publication: 32596945</span> | <span class="status-data status-APPROVED"> Published </span> | <span class="type-subtype">Book ( Conference proceedings ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2023.07.07. 12:31 András Balázs (MTMT Központ, admin) </div> <div class="chapters"> <b><a target="_blank" href="/api/publication?from=BookChapter&cond=book.mtid;eq;32596945">Chapters: 54</a></b> </div> </div></div>