TY  - JOUR
AU  - Deng, Ding-Lin
AU  - He, Ping
AU  - Shi, Peng
AU  - Kovács, Levente
TI  - Stabilization of nonlinear stochastic systems with input and output delays via event-triggered predictive control
JF  - INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
J2  - INT J ROBUST NONLIN
PY  - 2024
PG  - 19
SN  - 1049-8923
DO  - 10.1002/rnc.7309
UR  - https://m2.mtmt.hu/api/publication/34814687
ID  - 34814687
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Suciu, Dan Andrei
AU  - Dulf, Éva-Henrietta
AU  - Kovács, Levente
TI  - Low-Cost Autonomous Trains and Safety Systems Implementation, using Computer Vision
JF  - ACTA POLYTECHNICA HUNGARICA
J2  - ACTA POLYTECH HUNG
VL  - 21
PY  - 2024
IS  - 9
SP  - 29
EP  - 43
PG  - 15
SN  - 1785-8860
DO  - 10.12700/APH.21.9.2024.9.3
UR  - https://m2.mtmt.hu/api/publication/34812968
ID  - 34812968
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Zoltán
AU  - Kiss, Nóra
AU  - Szigeti, Mátyás
AU  - Áfra, Judit
AU  - Lekka, Norbert
AU  - Misik, Ferenc
AU  - Mucsi, István
AU  - Banczerowski, Péter
TI  - A fájdalom intenzitását mérő skálák összehasonlítása ágyéki gerincfájdalommal élők körében
JF  - IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE
J2  - IDEGGYOGY SZEMLE
VL  - 77
PY  - 2024
IS  - 3-4
SP  - 131
EP  - 135
PG  - 5
SN  - 0019-1442
DO  - 10.18071/isz.77.0131
UR  - https://m2.mtmt.hu/api/publication/34797580
ID  - 34797580
N1  - English Abstract; Journal Article
AB  - Pain intensity is the most frequently assessed health domain in clinical studies among patients with low-back pain. Visual analogue scale (VAS) and Numeric rating scale (NRS) have been the mostly used measurement tools for pain intensity. We proposed to correlate these instruments to a generic health-related quality of life measurement tool in order to show the scale with superior clinical relevance..We used cross-sectional, convenience sampling. 120 patients with chronic low-back pain administered the 29-item Patient Reported Outcomes Measurement Information System Profile with NRS included, and the VAS scale in the National Institute of Mental Health, Neurology and Neurosurgery. We determined the correlation between PROMIS domain T-scores and VAS and NRS scores..We performed Spearman rank correlation test to calculate the correlation coefficient. We found VAS scales measuring pain had weak to moderate correlations with all PROMIS health domains (r = 0.24–0.55). Therefore, we compared correlation of PROMIS domain scores with PROMIS pain intensity numeric rating scale and VAS scales. PROMIS domains had moderate to strong correlations with pain intensity scale (r = 0.45–0.71). PROMIS physical function short form [r = –0.65, 95% CI (–0.75) – (–0.55)] and PROMIS pain interference short form (r = 0.71, 95% CI 0.63 – 0.79) had the strongest correlation with pain intensity item..NRS has showed greater correlation with PROMIS domain T-scores than VAS scale. This may prove that NRS has greater connection to another health domains, thus it correlated more to health-related quality of life than visual scale. We recommend NRS to use in further clinical studies conducted among patients with low-back pain..
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Bahar, Muhammad Akbar
AU  - Kusuma, Ikhwan Yuda
AU  - Visnyovszki, Ádám
AU  - Matuz, Mária
AU  - Benkő, Ria
AU  - Ferenci, Tamás
AU  - Szabó, Bálint Gergely
AU  - Hajdú, Edit
AU  - Pető, Zoltán
AU  - Csupor, Dezső
TI  - Favipiravir does not improve viral clearance in mild to moderate COVID-19 – a systematic review and meta-analysis of randomized controlled trials
JF  - HELIYON
J2  - HELIYON
VL  - 10
PY  - 2024
IS  - 9
PG  - 15
SN  - 2405-8440
DO  - 10.1016/j.heliyon.2024.e29808
UR  - https://m2.mtmt.hu/api/publication/34796471
ID  - 34796471
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kovács, Levente
AU  - Thang, Huynh Quyet
TI  - Preface: Special Issue on Computational Cybernetics and Cyber-Medical Systems
JF  - ACTA POLYTECHNICA HUNGARICA
J2  - ACTA POLYTECH HUNG
VL  - 21
PY  - 2024
IS  - 9
SP  - 7
PG  - 1
SN  - 1785-8860
DO  - 10.12700/APH.21.9.2024.9.1
UR  - https://m2.mtmt.hu/api/publication/34792417
ID  - 34792417
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Szilágyi, László
AU  - Kovács, Levente
TI  - Special Issue: Artificial Intelligence Technology in Medical Image Analysis
JF  - APPLIED SCIENCES-BASEL
J2  - APPL SCI-BASEL
VL  - 14
PY  - 2024
IS  - 5
PG  - 5
SN  - 2076-3417
DO  - 10.3390/app14052180
UR  - https://m2.mtmt.hu/api/publication/34779484
ID  - 34779484
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Dénes-Fazakas, Lehel
AU  - Simon, Barbara
AU  - Hartveg, Ádám
AU  - Kovács, Levente
AU  - Dulf, Éva-Henrietta
AU  - Szilágyi, László
AU  - Eigner, György
TI  - Physical activity detection for diabetes mellitus patients using recurrent neural networks
JF  - SENSORS
J2  - SENSORS-BASEL
PY  - 2024
SN  - 1424-8220
DO  - 10.3390/s24082412
UR  - https://m2.mtmt.hu/api/publication/34778890
ID  - 34778890
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Csaholczi, Szabolcs
AU  - Kovács, Levente
AU  - Szilágyi, László
ED  - Szakál, Anikó
TI  - Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning
T2  - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
PB  - IEEE Hungary Section
CY  - Budapest
SN  - 9798350350142
PY  - 2024
SP  - 000399
EP  - 000404
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/34769087
ID  - 34769087
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Simon, Barbara
AU  - Hartveg, Ádám
AU  - Siket, Máté
AU  - Dénes-Fazakas, Lehel
AU  - Eigner, György
AU  - Kovács, Levente
AU  - Szilágyi, László
ED  - Szakál, Anikó
TI  - Data collection studies for the better understanding of factors in type 1 diabetes management
T2  - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
PB  - IEEE Hungary Section
CY  - Budapest
SN  - 9798350350142
PY  - 2024
SP  - 000375
EP  - 000380
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/34769071
ID  - 34769071
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Alexandru-George, BERCIU
AU  - Eva-Henrietta, DULF
AU  - Kovács, Levente
ED  - Szakál, Anikó
TI  - Semi-automated Solution for Extracting Information from Images using Machine Learning methods
T2  - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
PB  - IEEE Hungary Section
CY  - Budapest
SN  - 9798350350142
PY  - 2024
SP  - 000073
EP  - 000076
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/34768811
ID  - 34768811
LA  - English
DB  - MTMT
ER  -