Zobrazeno 1 - 10 of 83 pro vyhledávání: '"Benayad, Nsiri"'
1
Akademický článek
A Modified Adaptive Sparse-Group LASSO Regularization for Optimal Portfolio Selection
Autor: Somaya Sadik, Mohamed Et-Tolba, Benayad Nsiri
Publikováno v: IEEE Access, Vol 12, Pp 107337-107352 (2024)
Mean-variance portfolio optimization is widely used by financial professionals as a fundamental strategy for constructing portfolios that achieve the highest returns for a given degree of risk tolerance. This traditional approach suffers from computa
Externí odkaz: https://doaj.org/article/9bcf796b11e84e38b19fd5c1e9a15e68
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2
Akademický článek
CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC
Autor: Nouhaila BOUALOULOU, Taoufiq BELHOUSSINE DRISSI, Benayad NSIRI
Publikováno v: Applied Computer Science, Vol 19, Iss 2, Pp 1-24 (2023)
Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 percent of Parkinson's disease sufferers have some form of early s
Externí odkaz: https://doaj.org/article/4e6a1fdfb28b448484f109396330b534
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5
Identifying Retinal Diseases on OCT Image Based on Deep Learning
Autor: Abdelhafid Errabih, Mohyeddine Boussarhane, Benayad Nsiri, Abdelalim Sadiq, My Hachem El Yousfi Alaoui, Rachid Oulad Haj Thami, Brahim Benaji
Publikováno v: International Journal of Online and Biomedical Engineering (iJOE). 18:141-159
Computer-aided diagnosis has the potential to replace or at least support medical personnel in their everyday responsibilities such as diagnosis, therapy, and surgery. In the area of ophthalmology, artificial intelligence approaches have been incorpo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1343be839ad96f5c428f24f1d4e910ea
https://doi.org/10.3991/ijoe.v18i15.33639
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6
Identification of Apnea Based on Voice Activity Detection (VAD)
Autor: Younes El Ouahabi, Kaoutar Baggar, Benayad Nsiri, My Hachem El Yousfi Alaoui, Abdelmajid Soulaymani, Abdelrhani Mokhtari, Brahim Benaji
Publikováno v: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. 19:213-224
We identify obstructive sleep apnea as the most common respiratory issue associated with sleep. Frequent breathing disruptions characterize sleep apnea during sleep due to an obstruction in the upper airway. This illness, if left untreated, can lead
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0b35a3b518a6e9b4cb7bb8dff08cf9f
https://doi.org/10.37394/23209.2022.19.22
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7
Akademický článek
Use of ANN, LSTM and CNN Classifiers for the New MSCC and BSCC Methods in the Detection of Parkinson's Disease by Voice Analysis.
Autor: Mounia, Miyara, Nouhaila, Boualoulou, Benayad, Nsiri, Taoufiq, Belhoussine Drissi
Publikováno v: International Journal of Advanced Computer Science & Applications; 2023, Vol. 14 Issue 12, p560-567, 8p
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