A CNN-based methodology for breast cancer diagnosis using thermal images

Autor: Zuluaga-Gomez, Juan, Masry, Zeina Al, Benaggoune, Khaled, Meraghni, Safa, Zerhouni, Noureddine

Micro Abstract: A recent study from GLOBOCAN disclosed that during 2018 two million women worldwide had been diagnosed from breast cancer. This study presents a computer-aided diagnosis system based on convolutional neural networks as an alternative

Externí odkaz: http://arxiv.org/abs/1910.13757

A machine learning-based selection approach for solving the single machine scheduling problem with Early/Tardy jobs.

Autor: Abdessemed, Ahmed-Adnane, Mouss, Leila-Hayet, Benaggoune, Khaled, Bentrcia, Toufik

Publikováno v: BizInfo (Blace) Journal of Economics, Management & Informatics; 2024, Vol. 15 Issue 1, p1-10, 10p

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A Knowledge Transfer Approach for Online PEMFC Degradation prediction with Uncertainty Quantification

Autor: Benaggoune Khaled, Meiling Yue, Jemei Samir, Zerhouni Noureddine

Publikováno v: 2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d4a11b9f4e66a88892c62fb33ade7ab
https://doi.org/10.1109/cpeee54404.2022.9738717

Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal.

Autor: Gougam, Fawzi, Chemseddine, Rahmoune, Benazzouz, Djamel, Benaggoune, Khaled, Zerhouni, Noureddine

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Oct2021, Vol. 235 Issue 20, p5186-5197, 12p