<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaggoune, Khaled</style></author><author><style face="normal" font="default" size="100%">Al-masry, Z</style></author><author><style face="normal" font="default" size="100%">Ma, J. Devalland</style></author><author><style face="normal" font="default" size="100%">Zerhouni, N</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Data labeling impact on deep learning models indigital pathology: A breast cancer case study. ICCIS</style></title><secondary-title><style face="normal" font="default" size="100%">Intelligent Vision in Healthcare</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellal, Salah Eddine</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Sahnoun, M’hammed</style></author><author><style face="normal" font="default" size="100%">Messaadia, Mourad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cost Optimisation for Wheelchair Redesign</style></title><secondary-title><style face="normal" font="default" size="100%">2021 1st International Conference On Cyber Management And Engineering (CyMaEn)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/9497281</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Hammamet, Tunisia</style></pub-location><pages><style face="normal" font="default" size="100%">1-5</style></pages><isbn><style face="normal" font="default" size="100%">1-66543-200-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Requirements of users in developing countries differ from those of developed countries. This difference can be seen through wheelchair displacement in infrastructures that don't meet international standards. However, developing countries are obliged to purchase products from developed countries that don't necessarily meet all user's requirements. The modification of these requirements will generate disruption on all the supply chain. This paper proposes a model for optimising the cost of requirement modification on the supply chain and seeks to evaluate the introduction of a new requirement on an existing product/process. This model is adapted to the redesign and development of products, such as wheelchairs, satisfying specific Algerian end-user requirements.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chouhal, Ouahiba</style></author><author><style face="normal" font="default" size="100%">Mahdaoui, Rafik</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SOA-based distributed fault prognostic and diagnosis framework: an application for preheater cement cyclones</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Internet Manufacturing and ServicesInternational Journal of Internet Manufacturing and Services</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">1-18</style></pages><isbn><style face="normal" font="default" size="100%">1751-6048</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaggoune, Khaled</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">A Abdessemed</style></author><author><style face="normal" font="default" size="100%">Bensakhria, Mohamed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Holonic agent-based approach for system-level remaining useful life estimation with stochastic dependence</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Computer Integrated Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.tandfonline.com/doi/abs/10.1080/0951192X.2020.1795926?journalCode=tcim20</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">33</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The emerging behavior in complex systems is more complicated than the sum of the behaviors of their constituent parts. This behavior involves the propagation of faults between the parts and requires information about how the parts are related. Therefore, the prognostic function at the system-level becomes a very tough task. Conventional approaches focus on identifying faults and their probabilities of occurrence. In complex systems, this can create statistical limitations for prognostic function where component fault relies on the connected components in the system and their state of degradations. In this paper, a new Holonic agent-based approach is proposed for system-level remaining useful life (S-RUL) estimation with different dependencies. As the proposed approach can capture fault/failure mode propagation and interactions that occur in the system all the way up through the component and eventually system level, it can work as an automatic testing-tool in reliability tasks. Through a numerical example, the implementation is done in Java Agent Development Environment with and without consideration of stochastic dependence. Results show that the indirect effect of influencing components has a massive impact on the S-RUL, and the impact of stochastic dependencies should not be ignored, especially in the early stages of the system design.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Baaziz, Abdelkader</style></author><author><style face="normal" font="default" size="100%">Rezki, Nafissa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rate of Penetration (ROP) Prediction in Oil Drilling Based on Ensemble Machine Learning</style></title><secondary-title><style face="normal" font="default" size="100%">ICT for an Inclusive World</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-030-34269-2_37</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bencherif, Fateh</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Complex network to enhance characterization analysis in modelling product development process</style></title><secondary-title><style face="normal" font="default" size="100%">African Journal of Science, Technology, Innovation and DevelopmentAfrican Journal of Science, Technology, Innovation and Development</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">7</style></number><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">797-811</style></pages><isbn><style face="normal" font="default" size="100%">2042-1338</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhadi, Adel</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Ouahab KADRI</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST.</style></title><secondary-title><style face="normal" font="default" size="100%">Academic Journal of Manufacturing EngineeringAcademic Journal of Manufacturing Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">18</style></volume><isbn><style face="normal" font="default" size="100%">1583-7904</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Baaziz, Abdelkader</style></author><author><style face="normal" font="default" size="100%">Rezki, Nafissa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning</style></title><secondary-title><style face="normal" font="default" size="100%">ICT for an Inclusive World</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">537-549</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Berghout, Tarek</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Ouahab KADRI</style></author><author><style face="normal" font="default" size="100%">HADJIDJ, Nadjiha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Regularized Length Changeable Extreme Learning Machine with Incremental Learning Enhancements for Remaining Useful Life Prediction of Aircraft Engines</style></title><secondary-title><style face="normal" font="default" size="100%">2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">358-363</style></pages><isbn><style face="normal" font="default" size="100%">1-72815-835-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellal, Salah Eddine</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Sahnoun, M’hammed</style></author><author><style face="normal" font="default" size="100%">Messaadia, Mourad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">User behaviour-based approach to define mobility devices needs of disabled person in Algeria: a questionnaire study</style></title><secondary-title><style face="normal" font="default" size="100%">Disability and Rehabilitation: Assistive TechnologyDisability and Rehabilitation: Assistive Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">1-9</style></pages><isbn><style face="normal" font="default" size="100%">1748-3107</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui, Rafik</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Haboussi, Amar</style></author><author><style face="normal" font="default" size="100%">Chouhal, Ouahiba</style></author><author><style face="normal" font="default" size="100%">Haouassi, Hichem</style></author><author><style face="normal" font="default" size="100%">Maarouk, Toufik Messoud</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Temporal Neuro-Fuzzy System for Estimating Remaining Useful Life in Preheater Cement Cyclones</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Reliability, Quality and Safety EngineeringInternational Journal of Reliability, Quality and Safety Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">03</style></number><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">1950012</style></pages><isbn><style face="normal" font="default" size="100%">0218-5393</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamidane, Rabie</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Bellarbi, Abdelkader</style></author><author><style face="normal" font="default" size="100%">Mahdaoui, Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Implementation of a Preventive Maintenance System Based on Augmented Reality</style></title><secondary-title><style face="normal" font="default" size="100%">2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1-6</style></pages><isbn><style face="normal" font="default" size="100%">1-5386-4238-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abid, Khadija</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">KAHLOUL, Laid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Formal approach based on petri nets using agent paradigm for m-maintenance</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Critical Computer-Based SystemsInternational Journal of Critical Computer-Based Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">91-117</style></pages><isbn><style face="normal" font="default" size="100%">1757-8779</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ouahab KADRI</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">IDENTIFICATION AND DETECTION OF THE PROCESS FAULT IN A CEMENT ROTARY KILN BY EXTREME LEARNING MACHINE AND ANT COLONY OPTIMIZATION.</style></title><secondary-title><style face="normal" font="default" size="100%">Academic Journal of Manufacturing EngineeringAcademic Journal of Manufacturing Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><volume><style face="normal" font="default" size="100%">15</style></volume><isbn><style face="normal" font="default" size="100%">1583-7904</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hanane Zermane</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Les systèmes experts flous dans le domaine de l'industrie</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Éditions universitaires européennes</style></publisher><isbn><style face="normal" font="default" size="100%">3-639-65278-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki, Nafissa</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">KAHLOUL, Laid</style></author><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel approach for multivariate process monitoring using several intelligences</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Industrial and Systems EngineeringInternational Journal of Industrial and Systems Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">344-363</style></pages><isbn><style face="normal" font="default" size="100%">1748-5037</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki, Nafissa</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">KAHLOUL, Laid</style></author><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the use of multi-agent systems for the monitoring of industrial systems</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Industrial Engineering InternationalJournal of Industrial Engineering International</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">111-118</style></pages><isbn><style face="normal" font="default" size="100%">2251-712X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki, Nafissa</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">KAHLOUL, Laid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using several intelligences for complex industrial process monitoring: detection and diagnosis</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bencherif, Fateh</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Planning customer requirements and engineering characteristics in avoiding product development quality risks</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Decision Sciences, Risk and ManagementInternational Journal of Decision Sciences, Risk and Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">6</style></volume><pages><style face="normal" font="default" size="100%">63-79</style></pages><isbn><style face="normal" font="default" size="100%">1753-7169</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezgui, Wail</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mouss, Mohamed Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling of a photovoltaic field in malfunctioning</style></title><secondary-title><style face="normal" font="default" size="100%">2013 International Conference on Control, Decision and Information Technologies (CoDIT)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">788-793</style></pages><isbn><style face="normal" font="default" size="100%">1-4673-5549-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ouahab KADRI</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mouss, Mohamed Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault diagnosis of rotary kiln using SVM and binary ACO</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of mechanical science and technologyJournal of Mechanical Science and Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">601-608</style></pages><isbn><style face="normal" font="default" size="100%">1976-3824</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui, Rafik</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A TSK-type recurrent neuro-fuzzy systems for fault prognosis</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhadi, Adel</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of artificial immune system algorithms in monitoring industrial</style></title><secondary-title><style face="normal" font="default" size="100%">2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">50-55</style></pages><isbn><style face="normal" font="default" size="100%">1-4673-1658-X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Toufik, Bentercia</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Bensaadi, R</style></author><author><style face="normal" font="default" size="100%">Mouss, Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient Optimization Method for the Detection of New Failures Modes in Industrial Plants</style></title><secondary-title><style face="normal" font="default" size="100%">Revue des Sciences et Technologie </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">43-52</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	This paper addresses the problem of the detection of new failures modes in industrial plants.&amp;nbsp;Since its associated optimization problem is NP-hard, an efficient method based on taboo search and&amp;nbsp;Bezdeck criterion is proposed, intensification and diversification strategies are also included because of&amp;nbsp;the non connectivity of the solutions space. The proposed approach exercised on a simulated industrial&amp;nbsp;system was shown to exhibit good performances in dealing with the occurrence of new faults in&amp;nbsp;industrial processes, despite that such search algorithm is perfectly general, it can be easily extended to&amp;nbsp;more complicated schemes.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zeghichi, Nafissa</style></author><author><style face="normal" font="default" size="100%">ASSAS, Mekki</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic algorithm with Pareto fronts for multi-criteria optimization case study “milling parameters optimization”</style></title><secondary-title><style face="normal" font="default" size="100%">2011 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA) Proceedings</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1-5</style></pages><isbn><style face="normal" font="default" size="100%">1-4673-0248-1</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentrcia, Toufik</style></author><author><style face="normal" font="default" size="100%">Mouss, Mohamed Djamel</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Benbouzid, Mohamed El Hachemi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling and evaluation of single machine flexibility using fuzzy entropy and genetic algorithm based approach</style></title><secondary-title><style face="normal" font="default" size="100%">ETFA2011</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1-8</style></pages><isbn><style face="normal" font="default" size="100%">1-4577-0018-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui, Rafik</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mouss, Mohamed Djamel</style></author><author><style face="normal" font="default" size="100%">Chouhal, Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A temporal neuro-fuzzy monitoring system to manufacturing systems</style></title><secondary-title><style face="normal" font="default" size="100%">arXiv preprint arXiv:1107.3302arXiv preprint arXiv:1107.3302</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentrcia, Toufik</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mouss, Mohamed Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A New Approach Reliability Based for the Design of Hybrid Expert Systems in Industrial Diagnosis Field</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>