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pro vyhledávání: '"Noor Faris Ali"'
Autor:
Noor Faris Ali, Nabil Albastaki, Abdelkader Nasreddine Belkacem, Ibrahim M. Elfadel, Mohamed Atef
Publikováno v:
IEEE Access, Vol 12, Pp 129390-129403 (2024)
Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden. In this paper, we propose an efficient model consisting of a cascade
Externí odkaz:
https://doaj.org/article/448514a606a942fd87fe52fbbd7b3d46
Autor:
Noor Faris Ali, Mohamed Atef
Publikováno v:
Biomedical Signal Processing and Control. 84:104782
Autor:
Noor Faris Ali, Mohamed Atef
Publikováno v:
Electronics; Volume 11; Issue 22; Pages: 3749
Considerable research has been devoted to developing machine-learning models for continuous Blood Pressure (BP) estimation. A challenging problem that arises in this domain is the selection of optimal features with interpretable models for medical pr