Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Athanassios N. Skodras"'
Publikováno v:
International journal of electrical and computer engineering systems
Volume 12
Issue 1
Volume 12
Issue 1
Over the past few years, Deep learning (DL) has revolutionized the field of data analysis. Not only are the algorithmic paradigms changed, but also the performance in various classification and prediction tasks has been significantly improved with re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580c572695eba7db5056797211fb4bbd
https://doi.org/10.32985/ijeces.12.1.3
https://doi.org/10.32985/ijeces.12.1.3
Publikováno v:
Neural Computing and Applications. 33:2645-2666
Deep learning has transformed the field of data analysis by dramatically improving the state of the art in various classification and prediction tasks, especially in the area of computer vision. In biomedical engineering, a lot of new work is directe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0c598aee7aada2825529c87aa572b28
https://doi.org/10.1007/s00521-020-05128-7
https://doi.org/10.1007/s00521-020-05128-7
Publikováno v:
IISA
The latest advancements in the field of deep learning and biomedical engineering have allowed for the development of myoelectric interfaces based on deep neural networks. A longstanding problem of these interfaces is that the models cannot easily be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d476505da98c9f26e3b016694292d2c9
https://doi.org/10.1109/iisa52424.2021.9555555
https://doi.org/10.1109/iisa52424.2021.9555555
Publikováno v:
Physiological Computing Systems ISBN: 9783030279493
PhyCS (Selected Papers)
PhyCS (Selected Papers)
Deep learning (DL) has transformed the field of data analysis by dramatically improving the state of the art in various classification and prediction tasks. Especially in the area of computer vision and speech processing, DL has recently demonstrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57d97de54f1cf22efa183e48b5dd4bef
https://doi.org/10.1007/978-3-030-27950-9_10
https://doi.org/10.1007/978-3-030-27950-9_10
Publikováno v:
IISA
With the development of computer graphics rendering software, it has become extremely difficult to distinguish whether an image is computer generated or a natural one. Therefore, it is really important to device robust methods for correctly classifyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21381c469c4e5d3ff78a0f6c3067635e
https://doi.org/10.1109/iisa.2019.8900752
https://doi.org/10.1109/iisa.2019.8900752
Publikováno v:
IISA
In the past few years, a great interest for the classification of hand gestures with Deep Learning methods based on surface electromyography (sEMG) signals has been developed in the scientific community. In line with latest works in the field, the ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b3913976b5dc42def8cb3d9ed28135a
https://doi.org/10.1109/iisa.2019.8900709
https://doi.org/10.1109/iisa.2019.8900709
Publikováno v:
IWSSIP
Deep learning (DL) has transformed the field of data analysis by dramatically improving the state of the art in various classification and prediction tasks, especially in the area of computer vision. In biomedical engineering, a lot of new work is di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::561e26fcd881fa766587c278299f818d
https://doi.org/10.1109/iwssip.2019.8787290
https://doi.org/10.1109/iwssip.2019.8787290
Publikováno v:
ICASSP
In recent years, the successful application of Deep Learning methods to classification problems has had a huge impact in many domains. In biomedical engineering, the problem of gesture recognition based on electromyography is often addressed as an im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8273a66a958114866f2526e816ed9d8c
https://hdl.handle.net/20.500.14017/72f84909-0455-4e89-85c1-6893a65af50c
https://hdl.handle.net/20.500.14017/72f84909-0455-4e89-85c1-6893a65af50c
Publikováno v:
PhyCS
Scopus-Elsevier
Scopus-Elsevier
In recent years, Deep Learning methods have been successfully applied to a wide range of image and speech recognition problems highly impacting other research fields. As a result, new works in biomedical engineering are directed towards the applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a0fd1436d5632fe81ed7ee57448f80
https://biblio.vub.ac.be/vubir/deep-learning-in-emgbased-gesture-recognition(8d9a6cd4-4a75-48f8-8e21-c73aa5aca745).html
https://biblio.vub.ac.be/vubir/deep-learning-in-emgbased-gesture-recognition(8d9a6cd4-4a75-48f8-8e21-c73aa5aca745).html
Publikováno v:
IVMSP
Finger vein recognition is a biometric method of authentication that offers high security, efficiency and stability. In this paper we propose a new finger vein recognition system that utilizes the Enhanced Maximum Curvature Points (EMC) technique for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c78606cf94cdf74b7a6b59a543b66345
https://doi.org/10.1109/ivmspw.2018.8448746
https://doi.org/10.1109/ivmspw.2018.8448746