Zobrazeno 1 - 10
of 18
pro vyhledávání: '"INDEX TERMS Machine learning"'
Autor:
Estefani Yazmin Castrejon-Mejia, Jessica Cantillo-Negrete, Paul Carrillo-Mora, Emmanuel Ortega-Robles, Oscar Arias-Carrion, Mercedes Jatziri Gaitan-Gonzalez, Ruben I. Carino-Escobar
Publikováno v:
IEEE Access, Vol 12, Pp 162015-162027 (2024)
Accurate diagnosis of upper extremity motor function in stroke patients is important for effective rehabilitation. However, the approach to correctly perform clinical assessments is still a matter of discussion and requires both trained personnel and
Externí odkaz:
https://doaj.org/article/86877fca4a9e4600a8ff587146b94daa
Akademický článek
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Akademický článek
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Publikováno v:
24th IEEE Workshop On Signal and Power Integrity, SPI 2020
24th IEEE Workshop On Signal and Power Integrity, SPI 2020, May 2020, Cologne, Germany. pp.9218175, ⟨10.1109/SPI48784.2020.9218175⟩
IEEE 24th Workshop on Signal and Power Integrity (SPI)
IEEE 24th Workshop on Signal and Power Integrity (SPI), May 2020, Köln, Germany
24th IEEE Workshop On Signal and Power Integrity, SPI 2020, May 2020, Cologne, Germany. pp.9218175, ⟨10.1109/SPI48784.2020.9218175⟩
IEEE 24th Workshop on Signal and Power Integrity (SPI)
IEEE 24th Workshop on Signal and Power Integrity (SPI), May 2020, Köln, Germany
International audience; This paper focuses on the application of the partial least squares (PLS) regression to the uncertainty quantification of the responses of complex stochastic systems. It considers the development of a surrogate model using a li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fda8a1cafd959bf5a9cb69330accb03
https://hal.archives-ouvertes.fr/hal-03103325
https://hal.archives-ouvertes.fr/hal-03103325
Autor:
K. Vijila Rani
Machine learning technology is progressing rapidly in decision-making in the field of healthcare. Machine learning techniques and massive data analysis improve the precision of decision-making from diagnosis to treatment. Specific machine learning al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d8b715fdee48c6acbb3e42e002f23b2
Akademický článek
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Publikováno v:
AIKE
International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019, Cagliari, Italy. ⟨10.1109/AIKE.2019.00010⟩
International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019, Cagliari, Italy. ⟨10.1109/AIKE.2019.00010⟩
International audience; This paper describes a method of predicting wheat yields based on machine learning, which accurately determines the value of wheat yield losses in France. Obtaining reliable value from yield losses is difficult because we are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f252d115813782b1ed42e5b0ad1bc0
https://doi.org/10.1109/aike.2019.00010
https://doi.org/10.1109/aike.2019.00010
Autor:
Saeed Teimourzadeh, Alireza Shahsavari, Mohammad S. Golsorkhi, Mehdi Savaghebi, Farrokh Aminifar
Publikováno v:
Aminifar, F, Teimourzadeh, S, Shahsavari, A, Savaghebi, M & Golsorkhi, M S 2021, ' Machine learning for protection of distribution networks and power electronics-interfaced systems ', The Electricity Journal, vol. 34, no. 1, 106886 . https://doi.org/10.1016/j.tej.2020.106886
Distribution network protection is becoming more sophisticated in the wake of ever-changing landscape of power systems driven by the vast renewable energy integration mostly sited behind the meters, growing uncertainty and volatility subsequent to sm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13f7a5571eea0349b2b5c72bd0e6d108
https://doi.org/10.1016/j.tej.2020.106886
https://doi.org/10.1016/j.tej.2020.106886
Akademický článek
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Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine, 2018, 6, pp.2100212. ⟨10.1109/JTEHM.2018.2796600⟩
IEEE Journal of Translational Engineering in Health and Medicine, IEEE, 2018, 6, pp.2100212. ⟨10.1109/JTEHM.2018.2796600⟩
IEEE Journal of Translational Engineering in Health and Medicine, 2018, 6, pp.2100212. ⟨10.1109/JTEHM.2018.2796600⟩
IEEE Journal of Translational Engineering in Health and Medicine, IEEE, 2018, 6, pp.2100212. ⟨10.1109/JTEHM.2018.2796600⟩
International audience; Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative diseases diagnosis. Computer-aided diagnosis, based on medical image analysis, could help quantitative eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9b8f34da5181fc4c67792e757d4d4fd3
https://hal-amu.archives-ouvertes.fr/hal-02335148/document
https://hal-amu.archives-ouvertes.fr/hal-02335148/document