| On predictive maintenance in industry 4.0: Overview, models, and challenges M Achouch, M Dimitrova, K Ziane, S Sattarpanah Karganroudi, R Dhouib, ... Applied Sciences 12 (16), 8081, 2022 | 317 | 2022 |
| Predictive maintenance and fault monitoring enabled by machine learning: experimental analysis of a TA-48 multistage centrifugal plant compressor M Achouch, M Dimitrova, R Dhouib, H Ibrahim, M Adda, ... Applied Sciences 13 (3), 1790, 2023 | 29 | 2023 |
| Neural network optimization algorithms to predict wind turbine blade fatigue life under variable hygrothermal conditions K Ziane, A Ilinca, SS Karganroudi, M Dimitrova Eng 2 (3), 278-295, 2021 | 20 | 2021 |
| Analyse, Évaluation et Réduction des Risques d'un Parc Éolien K Ziane Univesité d'Oran 2 Mohamed Ben Ahmed, 2017 | 14 | 2017 |
| Fatigue strength prediction in composite materials of wind turbine blades under dry–wet conditions: An artificial neural network approach K Ziane, S Zebirate, A Zaitri Wind Engineering 40 (3), 189-198, 2016 | 7 | 2016 |
| PARTICLE SWARM OPTIMIZATION-BASED NEURAL NETWORK FOR PREDICTING FATIGUE STRENGTH IN COMPOSITE LAMINATES OF WIND TURBINE BLADES K Ziane, S Zebirate, A Zaitri Composites: Mechanics, Computations, Applications: An International Journal …, 2015 | 4 | 2015 |
| A cuckoo search based neural network to predict fatigue life in rotor blade composites K Ziane, A Ilinca, A Khan, S Zebirate Journal of Mechanical Engineering and Sciences 14 (1), 6430-6442, 2020 | 2 | 2020 |
| Prédiction du comportement en fatigue des composites des pales d'éoliennes à l'aide des méthodes d'intelligence artificielle K Ziane Université du Québec à Rimouski, 2020 | | 2020 |
| Implémentation d’un système de détection d’alcool au volant basé sur une instrumentation virtuelle K Ziane https://www.researchgate.net/publication/344390400_Implementation_d …, 2020 | | 2020 |
| Environmental effects on fatigue strength of composite materials of wind turbine blades K Ziane, S Zebirate, A Zaitri 3rd Euro-Mediterranean Conference on Materials and Renewable Energies EMCMRE …, 2015 | | 2015 |
| Predicting the fatigue strength of different composite laminates of wind turbine blades K Ziane, S Zebirate, A Zaitri Third Euro-Mediterranean Meeting on Functionalized Materials EMM-FM 2015 …, 2015 | | 2015 |
| Mesures de prévention et de protection d'un parc éolien contre le risque d'incendie K Ziane, S Zebirate, Z Lounis International Conference on Engineering of Industrial Safety and Environment …, 2014 | | 2014 |
| Machine Learning-Based State of Charge Estimation: A Comparison between Catboost Model and C-Blstm-Ae Model A Zilali, M Adda, K Ziane, M Berger Available at SSRN 4998915, 0 | | |
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