Expression of Concern for: A LSTM based Deep Learning Model for Smart Manufacturing

The conventional manufacturing sector makes use of antiquated machinery and time-consuming, error-prone manual procedures, with catastrophic financial consequences for even the smallest of mistakes. As part of the 4.0 revolution, businesses are incorporating IoT and robots into their existing infras...

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Bibliographic Details
Main Authors: Mandloi, Babli, Dubey, Ghanshyam Prasad, Tahiliani, Komal
Format: Conference Proceeding
Language:English
Online Access:Request full text
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Summary:The conventional manufacturing sector makes use of antiquated machinery and time-consuming, error-prone manual procedures, with catastrophic financial consequences for even the smallest of mistakes. As part of the 4.0 revolution, businesses are incorporating IoT and robots into their existing infrastructure. Manufacturing is only one area that has benefited from the widespread use of AI and machine learning. In this research, a deep learning model for intelligent production is presented, and it is based on the long short-term memory technique.
ISSN:2832-143X
DOI:10.1109/ISCON57294.2023.10703658