Výsledky vyhledávání

Akademický článek

The detection of Parkinson disease using the genetic algorithm and SVM classifier

Autor: Soumaya, Zayrit, Drissi Taoufiq, Belhoussine, Benayad, Nsiri, Yunus, Korkmaz, Abdelkrim, Ammoumou

Publikováno v: In Applied Acoustics 1 January 2021 171

Zobrazit plný text záznamu

Federated Learning for Medical Imaging: An Updated State of the Art

Autor: Naoual Mouhni, Abderrafiaa Elkalay, Mohamed Chakraoui, Abdelmounaim Abdali, Abdelkarim Ammoumou, Ibtissam Amalou

Publikováno v: Ingénierie des systèmes d information. 27:143-150

Deep Neural networks algorithms are recently used to solve problems in medical imaging like no time ever. However, one of the main challenges for training robust and accurate machine learning algorithms, such as Convolutional neural networks (CNNs) i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e988f94d5e5f1f9cfe15af2a1ad04685
https://doi.org/10.18280/isi.270117

Zobrazit plný text záznamu

Features selection by genetic algorithm optimization with k-nearest neighbour and learning ensemble to predict Parkinson disease

Autor: Nsiri Benayad, Zayrit Soumaya, Belhoussine Drissi Taoufiq, Ammoumou Abdelkrim

Publikováno v: International Journal of Electrical and Computer Engineering (IJECE). 12:1982

Among the several ways followed for detecting Parkinson's disease, there is the one based on the speech signal, which is a symptom of this disease. In this paper focusing on the signal analysis, a data of voice records has been used. In these records

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b180ba7d4494888ae33ce6c3fa2893e8
https://doi.org/10.11591/ijece.v12i2.pp1982-1989

Zobrazit plný text záznamu