Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Bentrcia A"'
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
Autor:
Bentrcia, Toufik, Mennouni, Abdelaziz
Publikováno v:
In Communications in Nonlinear Science and Numerical Simulation October 2023 125
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2007, Iss 1, p 025945 (2007)
We introduce a chip-level linear group-wise successive interference cancellation (GSIC) multiuser structure that is asymptotically equivalent to block successive over-relaxation (BSOR) iteration, which is known to outperform the conventional block Ga
Externí odkaz:
https://doaj.org/article/7222e36b80fb4b2eb6b9229681f80632
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:
In Expert Systems With Applications 1 March 2022 189
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Berghout, Tarek, Mouss, Leïla-Hayet, Bentrcia, Toufik, Elbouchikhi, Elhoussin, Benbouzid, Mohamed
Publikováno v:
In Ocean Engineering 1 February 2021 221
Publikováno v:
Revue d'Intelligence Artificielle; Jun2024, Vol. 38 Issue 3, p867-876, 10p
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:
In Materials Today: Proceedings 2020 20 Part 3:348-355