Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mohammad Babrdel Bonab"'
Publikováno v:
IEEE Access, Vol 11, Pp 36834-36848 (2023)
The use of Convolutional Neural Networks (CNN) for the application of wood defects detection has gained significant attention in recent years. In industrial settings, these tasks are typically performed in a strict and consistent environment, making
Externí odkaz:
https://doaj.org/article/7618915f1b594252af7d540ae85987d9
Publikováno v:
In Expert Systems With Applications 15 April 2021 168
Publikováno v:
2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).
Publikováno v:
2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE).
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Power Electronics and Drive Systems (IJPEDS). 14:348
The extensive use of power electronic converters in the third rail system increases the harmonic distortions on the rail electrical feeding systems. Electrical machines and transformers could be overheated causing premature failures of the devices. I
Publikováno v:
Procedia Computer Science. 163:228-236
Hyper-heuristic is a new generation of heuristic algorithms which include a set of heuristics that could generate a set of heuristics or automate the process of selecting a batch of heuristics to address different optimization problems. Most of the h
Autor:
Thau-Soon Khoo, Mohammad Babrdel Bonab
Publikováno v:
Applied Soft Computing. 125:109128
Autor:
Madhavan a, Goi Bok-Min, l Balan Nair, Chua Kein Huat, Wong Chim Chwee, Mohammad Babrdel Bonab
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030736880
SoCPaR
SoCPaR
Observations over recent studies indicate that most of the methods and algorithms used to deal with clustering problems are based on hybrid metaheuristic and metaheuristic algorithms to rectify the solutions. However, these approaches are restricted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::799a0da7f7e61fb17c752e6881b28a92
https://doi.org/10.1007/978-3-030-73689-7_15
https://doi.org/10.1007/978-3-030-73689-7_15
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