Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Leila Hayet Mouss"'
Publikováno v:
BizInfo, Vol 15, Iss 1, Pp 1-10 (2024)
Today, the algorithm selection paradigm has become one of the promising approaches in the field of optimization problems. Its main goal is to solve each case of an optimization problem with the most accurate algorithm using machine learning technique
Externí odkaz:
https://doaj.org/article/224f89cf11ec48dfaa6766e8c61b9d9d
Publikováno v:
International Journal of Production Management and Engineering, Vol 11, Iss 2, Pp 167-178 (2023)
In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algor
Externí odkaz:
https://doaj.org/article/4a6ec0e5b29548a2b833f2da530ec651
Analysis and Design of Modified Incremental Conductance-Based MPPT Algorithm for Photovoltaic System
Publikováno v:
Revue des Énergies Renouvelables, Vol 25, Iss 2, Pp 187 – 198-187 – 198 (2022)
This study discusses the design of the Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) systems employing a modified incremental conductance (IncCond) algorithm to extract maximum power from a PV module. A PV module, a DC-DC conver
Externí odkaz:
https://doaj.org/article/def9a61dae54465480f59ffd5df4c5cb
Publikováno v:
IEEE Access, Vol 9, Pp 152829-152840 (2021)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states in real time provided that bot
Externí odkaz:
https://doaj.org/article/8a95c28b3d8741c397aacfeff34073e6
Publikováno v:
IEEE Transactions on Energy Conversion. 37:1200-1210
Deep learning techniques have recently brought many improvements in the field of neural network training, especially for prognosis and health management. The success of such an intelligent health assessment model depends not only on the availability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac44f128119cf9891302e58cd1c3d28d
https://doi.org/10.1109/tec.2021.3116423
https://doi.org/10.1109/tec.2021.3116423
Publikováno v:
2023 International Conference On Cyber Management And Engineering (CyMaEn).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14edea305f04673c82c487cdf35eb81c
https://doi.org/10.1109/cymaen57228.2023.10050928
https://doi.org/10.1109/cymaen57228.2023.10050928
Publikováno v:
International Journal of Computer Integrated Manufacturing. 33:1089-1104
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 require...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8867657152e9c3e331a842c0a7113ff3
https://doi.org/10.1080/0951192x.2020.1795926
https://doi.org/10.1080/0951192x.2020.1795926
Publikováno v:
Quality and Reliability Engineering International. 36:2146-2169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bf6a95cd8956844420058fa29056ec
https://doi.org/10.1002/qre.2688
https://doi.org/10.1002/qre.2688
Autor:
Fateh Bencherif, Leila Hayet Mouss
Publikováno v:
African Journal of Science, Technology, Innovation and Development. 12:797-811
Nowadays, successful and innovative product development is highly correlated with the company's success and reason for existence. A development process is a major factor influencing cost, timing an...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04699777b93c84342d9fc1060b6eb89
https://doi.org/10.1080/20421338.2020.1762355
https://doi.org/10.1080/20421338.2020.1762355
Publikováno v:
Durovic, S, Benbouzid, M, Ma, X & Berghout, T 2021, Machine Learning for Photovoltaic Systems Condition Monitoring: A Review . in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society . pp. 1-6, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, Canada, 13/10/21 . https://doi.org/10.1109/IECON48115.2021.9589423
IECON
IECON
Condition Monitoring of photovoltaic systems plays an important role in maintenance interventions due to its ability to solve problems of loss of energy production revenue. Nowadays, machine learning-based failure diagnosis is becoming increasingly g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da1770acb6bd73a93b5da83aceed2b5b
https://doi.org/10.1109/IECON48115.2021.9589423
https://doi.org/10.1109/IECON48115.2021.9589423
