Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Toufik Bentrcia"'
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:
Machines, Vol 11, Iss 12, p 1089 (2023)
The deep learning diagnosis of aircraft engine-bearing faults enables cost-effective predictive maintenance while playing an important role in increasing the safety, reliability, and efficiency of aircraft operations. Because of highly dynamic and ha
Externí odkaz:
https://doaj.org/article/01f5806d87fd46f0add3696d737ae5d1
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:
Mathematics, Vol 10, Iss 19, p 3528 (2022)
Federated learning (FL) is a data-privacy-preserving, decentralized process that allows local edge devices of smart infrastructures to train a collaborative model independently while keeping data localized. FL algorithms, encompassing a well-structur
Externí odkaz:
https://doaj.org/article/1957e3a754ed472b943468000fa25e61
Publikováno v:
Entropy, Vol 24, Iss 7, p 1009 (2022)
The green conversion of proton exchange membrane fuel cells (PEMFCs) has received particular attention in both stationary and transportation applications. However, the poor durability of PEMFC represents a major problem that hampers its commercial ap
Externí odkaz:
https://doaj.org/article/95ea80808da34eeaa323f4e7e06e5421
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 9, Iss 1, Pp 1856-1862 (2018)
In this paper, a new nanoscale double-gate junctionless tunneling field-effect transistor (DG-JL TFET) based on a Si1−xGex/Si/Ge heterojunction (HJ) structure is proposed to achieve an improved electrical performance. The effect of introducing the
Externí odkaz:
https://doaj.org/article/860203e69df64870a1739b39743a3a08
Autor:
Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, Xiandong Ma, Siniša Djurović, Leïla-Hayet Mouss
Publikováno v:
Energies, Vol 14, Iss 19, p 6316 (2021)
To ensure the continuity of electric power generation for photovoltaic systems, condition monitoring frameworks are subject to major enhancements. The continuous uniform delivery of electric power depends entirely on a well-designed condition mainten
Externí odkaz:
https://doaj.org/article/3218e447d5b443bb8b02614634f23f36
Publikováno v:
IET Circuits, Devices and Systems, Vol 11, Iss 6, Pp 618-623 (2017)
In this study, the authors focus mainly on the investigation of Kriging interpolation method to elaborate surrogate models of the nanoscale double‐gate metal oxide silicon field effect transistors (DG MOSFET) analogue/RF performance under critical
Externí odkaz:
https://doaj.org/article/b95facf41fa243299d6ceebf34371ece
Publikováno v:
Nanotechnology in Electronics. :97-126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3adb3188d9c129a68ebbf0e49f3f92e
https://doi.org/10.1002/9783527824229.ch4
https://doi.org/10.1002/9783527824229.ch4
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