Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

Mohamed Zarouan, Ibrahim Mustafa Mehedi, Shaikh Abdul Latif Shaikh, Md Masud Rana

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1341
Number of pages	1364
Journal	CMES - Computer Modeling in Engineering and Sciences
Volume	138
Issue number	2
DOIs	https://doi.org/10.32604/cmes.2023.030037
Publication status	Published - 17 Nov 2023

Access to Document

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title = "Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment",

author = "Mohamed Zarouan and Mehedi, {Ibrahim Mustafa} and Shaikh, {Shaikh Abdul Latif} and Rana, {Md Masud}",

year = "2023",

month = nov,

day = "17",

doi = "10.32604/cmes.2023.030037",

language = "English",

volume = "138",

pages = "1341",

journal = "CMES - Computer Modeling in Engineering and Sciences",

issn = "1526-1492",

number = "2",

}

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

AU - Zarouan, Mohamed

AU - Mehedi, Ibrahim Mustafa

AU - Shaikh, Shaikh Abdul Latif

AU - Rana, Md Masud

PY - 2023/11/17

Y1 - 2023/11/17

U2 - 10.32604/cmes.2023.030037

DO - 10.32604/cmes.2023.030037

M3 - Article

SN - 1526-1492

VL - 138

SP - 1341

JO - CMES - Computer Modeling in Engineering and Sciences

JF - CMES - Computer Modeling in Engineering and Sciences

IS - 2

ER -