https://m2.mtmt.hu/ hun 2026-04-19 10:28 BookChapter 34554612 ADMIN_APPROVED true 0 false 2025-10-01T06:44:17.559+0000 2024-03-13T14:11:23.855+0000 2024-02-02T08:40:01.019+0000 true 10079502 Dienesné Fráter Daniella /api/admin/10079502 Admin Dienesné Fráter Daniella (ÓE 5 admin) false 2024-03-13T14:11:20.608+0000 2024-03-13T14:11:20.608+0000 2024-03-13T14:11:23.864+0000 true 10058509 Margit István /api/admin/10058509 Admin Margit István (NKE 4-es admin) true 10058509 true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Fereshteh, Taromideh 525 530 525 6 2024 Urban flood hazard assessment using an ensemble approach can reduce the bias of individual models and provide a more accurate picture of how flood risks may change in specific locations over time. By incorporating different models, the ensemble approach can produce a more accurate prediction of flooding events. In the current research, we used an ensemble machine learning for flood hazard assessment. The results showed that the ensemble model outperforms other methods, such as the classification and regression tree (CART) method and random forest (RF). 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(2024) ISBN:9798350317190; 9798350317206; 9798350317213 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false false 34531738 false true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2024 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 114204957 /api/authorship/114204957 Fereshteh, Taromideh 1 0.2 true false Fereshteh Taromideh true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114204958 /api/authorship/114204958 Ramin, Fazloula 2 0.2 false false Ramin Fazloula true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114204959 /api/authorship/114204959 Bahram, Choubin 3 0.2 false false Bahram Choubin true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114204960 /api/authorship/114204960 Mehdi, Masoodi 4 0.2 false false Mehdi Masoodi true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114204961 /api/authorship/114204961 Amir, Mosavi [Mosavi, Amirhosein (Natural Science), szerző] Szoftvertervezés- és Fejlesztés Intézet (ÓE / NIK); Információs Társadalom Kutatóintézet (NKE / EJKK) 5 0.2 false true Author 10050464 /api/author/10050464 Mosavi Amirhosein (Natural Science) Mosavi Amirhosein true 10050464 true Amir Mosavi true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 25862972 /api/publicationidentifier/25862972 DOI: 10.1109/SAMI60510.2024.10432902 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true PAY IDENTICAL 10.1109/SAMI60510.2024.10432902 https://doi.org/10.1109/SAMI60510.2024.10432902 false true PublicationIdentifier 25862974 /api/publicationidentifier/25862974 Scopus: 85186763697 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 85186763697 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85186763697 false true PublicationIdentifier 25862973 /api/publicationidentifier/25862973 Egyéb URL: https://ieeexplore.ieee.org/document/10432902 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true NONE https://ieeexplore.ieee.org/document/10432902 https://ieeexplore.ieee.org/document/10432902 false true Classification 10099 /api/classification/10099 Gépi tanulás, statisztikus adatfeldolgozás, jelfeldolgozáson alapuló alkalmazások (pl. beszéd, kép, videó) true true Classification 11603 /api/classification/11603 Mesterséges intelligencia és döntéstámogatás true true Classification 10807 /api/classification/10807 Műszaki és technológiai tudományok true true Classification 10880 /api/classification/10880 Villamosmérnöki és informatikai tudományok true true Keyword 1281942 /api/keyword/1281942 big data true 1281942 true Keyword 1479886 /api/keyword/1479886 Data Science true 1479886 true Keyword 1540695 /api/keyword/1540695 Applied mathematics true true Keyword 3155426 /api/keyword/3155426 deep learning true true Keyword 3219812 /api/keyword/3219812 Artifical intellegence true true /api/publication/34554612 Fereshteh Taromideh et al. Ensemble Machine Learning for Urban Flood Hazard Assessment. (2024) Megjelent: 22nd IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 pp. 525-530<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" >Fereshteh Taromideh </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Ramin Fazloula </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Bahram Choubin </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Mehdi Masoodi </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10050464"><a href="/gui2/?type=authors&mode=browse&sel=10050464" target="_blank">Amir Mosavi (<span class="authorship-author-name">Mosavi Amirhosein</span> <span class="authorAux-mtmt"> Natural Science</span>) </a> </span> <span class="author-affil"><span title="Óbudai Egyetem">ÓE</span>/<span title="Neumann János Informatikai Kar">NIK</span>/Szoftvertervezés- és Fejlesztés Intézet; <span title="Nemzeti Közszolgálati Egyetem">NKE</span>/<span title="Eötvös József Kutatóközpont">EJKK</span>/Információs Társadalom Kutatóintézet</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34554612" target="_blank">Ensemble Machine Learning for Urban Flood Hazard Assessment</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;34531738" target="_blank">22nd IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 : Proceedings </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Stará Lesna, Szlovákia <span class="conference-date">2024.01.25. - 2024.01.27.</span> </div> <span class="editionNumber">(1)</span> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> pp 525-530 </span> <span class="year">(2024)</span> ( <span class="seriesTitle">Proceedings - International Symposium on Applied Machine Intelligence and Informatics, SAMI</span> <span class="issn">2836-0834</span> <span class="issn">2767-9438</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1109/SAMI60510.2024.10432902" target="_blank" href="https://doi.org/10.1109/SAMI60510.2024.10432902"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85186763697" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85186763697"> Scopus </a> </span> <span class="id identifier oa_NONE" title=" Nincs "> <a style="color:black" title="https://ieeexplore.ieee.org/document/10432902" target="_blank" href="https://ieeexplore.ieee.org/document/10432902"> Egyéb URL </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI60510.2024" target="_blank" href="https://doi.org/10.1109/SAMI60510.2024"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350317190" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317190"> 9798350317190 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9798350317206" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317206"> 9798350317206 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350317213" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317213"> 9798350317213 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 34554612</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 34531738</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2024.03.13. 15:11 Margit István (NKE 4-es admin) </div> </div> </div>