Výsledky vyhledávání

Détection du cancer du sein à l’aide de soutiens-gorge connectés en 2021 : analyses et perspectives

Autor: Z. Al Masry, N. Zerhouni, C. Gay, S. Meraghni, M. Lodi, C. Mathelin, C. Devalland

Publikováno v: Gynécologie Obstétrique Fertilité & Sénologie. 49:907-912

Resume Objectif Le cancer du sein est le premier cancer feminin dans le monde avec plus de 2 millions de nouveaux cas et plus de 650 000 deces chaque annee. La mammographie est la methode de depistage et de diagnostic la plus utilisee. Actuellement,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f02cb239375d0b5593d86f247c68131
https://doi.org/10.1016/j.gofs.2021.05.008

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Deep LSTM Enhancement for RUL Prediction Using Gaussian Mixture Models

Autor: Z. Noureddine, Z. Al Masry, Djillali Guebli, Mohamed Sayah

Publikováno v: Automatic Control and Computer Sciences. 55:15-25

This paper introduces a new deep learning model for Remaining Useful Life (RUL) prediction of complex industrial system components using Gaussian Mixture Models (GMMs). The used model is an enhanced deep LSTM approach, for which Gaussian mixture clus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::618705d208b34c5f456360dd569143ec
https://doi.org/10.3103/s0146411621010089

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Industrial data management strategy towards an SME-oriented PHM

Autor: Nabil Omri, S. Giampiccolo, N. Mairot, Noureddine Zerhouni, Z. Al Masry

Publikováno v: Journal of Manufacturing Systems. 56:23-36

The fourth industrial revolution is derived from advances in digitization and prognostic and health management (PHM) disciplines to make plants smarter and more efficient. However, an adapted approach for data-driven PHM process implementation in sma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6d1e60002f0a8cbb98f27a44b2e65fd
https://doi.org/10.1016/j.jmsy.2020.04.002

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Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study

Autor: K. Benaggoune, Z. Al Masry, C. Devalland, S. Valmary-degano, N. Zerhouni, L. H. Mouss

Publikováno v: Studies in Autonomic, Data-driven and Industrial Computing ISBN: 9789811677700

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::13daa90fe3a878aa95aadcaba1a782e2
https://doi.org/10.1007/978-981-16-7771-7_10

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[Connected bras for breast cancer detection in 2021: Analysis and perspectives]

Autor: Z, Al Masry, N, Zerhouni, C, Gay, S, Meraghni, M, Lodi, C, Mathelin, C, Devalland

Publikováno v: Gynecologie, obstetrique, fertilitesenologie. 49(12)

Breast cancer is the leading cancer in women worldwide with about 2 million new cases and 685,000 deaths each year. Mammography is the most widely used screening and diagnostic method. Currently, digital technologies advances facilitate the developme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::38812f4b897f310d9838ad942c9023a7
https://pubmed.ncbi.nlm.nih.gov/34091080

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Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications

Autor: Nabil Omri, Noureddine Zerhouni, Z. Al Masry, S. Giampiccolo, N. Mairot

Publikováno v: Computers in Industry
Computers in Industry, 2021, 127, pp.103414

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98f69989cad4d33b216f50c352bfec16
https://hal.archives-ouvertes.fr/hal-03455161/file/9fd763b9-29f6-42f8-900d-03ed40a3d62f-author.pdf

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Data Quality Requirements Methodology for an Adapted PHM Implementation

Autor: Z. Al Masry, Noureddine Zerhouni, N. Mairot, Nabil Omri, S. Giampiccolo

Publikováno v: Communication and Intelligent Systems ISBN: 9789811610882

The technologies of digitization allow organizations to rely on data mining for performance improvement. In this context, data-driven Prognostics and Health Management (PHM) is being introduced as a new framework for data management and knowledge ext

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c2a6c295352ffb17fd04f37748f9953
https://doi.org/10.1007/978-981-16-1089-9_70

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Wire-bond contact degradation modeling for remaining useful lifetime prognosis of IGBT power modules

Autor: M. Nazar, Nicolas Degrenne, Ali Ibrahim, Z. Al-Masry, Zoubir Khatir

Publikováno v: Microelectronics Reliability
Microelectronics Reliability, Elsevier, 2020, 114, ⟨10.1016/j.microrel.2020.113824⟩
ESREF 2020, 31st European Symposium on Reliability of Electron Devices, Failure Physics and Analysis
ESREF 2020, 31st European Symposium on Reliability of Electron Devices, Failure Physics and Analysis, Oct 2020, Athènes, France. ⟨10.1016/j.microrel.2020.113824⟩

ESREF 2020, 31st European Symposium on Reliability of Electron Devices, Failure Physics and Analysis, Athènes, GRECE, 05-/10/2020 - 07/10/2020; Power electronic modules undergo electro-thermal stresses due to power losses that lead to several kinds

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abd523c196b197d6c398fff17f933a01
https://hal.archives-ouvertes.fr/hal-03150944/document

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