Výsledky vyhledávání - "Soukaina MJAHED"

Bio-Inspired Hybridization of Artificial Neural Networks for Various Classification Tasks

Autor: Ouail MJAHED, Salah EL HADAJ, El Mahdi EL GUARMAH, Soukaina MJAHED

Publikováno v: Studies in Informatics and Control. 31:21-30

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ff5f21abf4a769e7913a1a9a8e7dfc6
https://doi.org/10.24846/v31i3y202202

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Helicopter Main Rotor Fault Diagnosis by Using GA- and PSO-based Classifiers

Autor: Soukaina Mjahed, Salah El Hadaj, Said Raghay, Khadija Bouzaachane

Publikováno v: Studies in Informatics and Control. 29:5-15

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65b3ee2cf9a04f007b40f0125900414e
https://doi.org/10.24846/v29i1y202001

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Engine Fault Signals Diagnosis using Genetic Algorithm and K-means based Clustering

Autor: Said Raghay, Salah El Hadaj, Soukaina Mjahed, Khadija Bouzaachane

Publikováno v: LOPAL

This paper presents an efficient algorithm for solving multi-objective fault signals diagnosis problem using Genetic Algorithm based on K-means clustering technique and taking advantage of a nonrandom initialization using Global K-means method. We at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d94cf4df0075dcb227ba61c813a77ad3
https://doi.org/10.1145/3230905.3230952

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Improved PSO based K-Means Clustering Applied to Fault Signals Diagnosis

Autor: Said Raghay, Soukaina Mjahed, Khadija Bouzaachane, Salah El Hadaj

Publikováno v: 2018 International Conference on Control, Automation and Diagnosis (ICCAD).

In this paper, we attempt to detect and diagnose anomalous from fault signals in industrial processes using K-means clustering technique with Particle Swarm Optimization (PSO)algorithm. In addition to healthy (normal)engines, we consider three types

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50fc9c1bed2a6f1bbe7946268898406e
https://doi.org/10.1109/cadiag.2018.8751319

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Akademický článek

Hybridization of Fuzzy and Hard Semi-Supervised Clustering Algorithms Tuned with Ant Lion Optimizer Applied to Higgs Boson Search.

Autor: Mjahed, Soukaina, Bouzaachane, Khadija, Azar, Ahmad Taher, El Hadaj, Salah, Raghay, Said

Publikováno v: CMES-Computer Modeling in Engineering & Sciences; 2020, Vol. 125 Issue 2, p459-494, 36p

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