Transforming Industrial Supervision Systems: A Comprehensive Approach Integrating Machine Learning Techniques and Fuzzy Logic Cover

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Transforming Industrial Supervision Systems: A Comprehensive Approach Integrating Machine Learning Techniques and Fuzzy Logic

The Scientific Bulletin of Electrical Engineering Faculty

Volume 24 (2024): Issue 2 (December 2024)

By: Hanane Zermane, Ahcene Ziar, Hassina Madjour and Djamel Touahar

Open Access

|Dec 2024

Authors

Hanane Zermane

h.zermane@univ-batna2.dz

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Faculty of Technology, Batna 2 University, Batna, Algeria

Ahcene Ziar

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Faculty of Technology, Batna 2 University, Batna, Algeria

Hassina Madjour

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Faculty of Technology, Batna 2 University, Batna, Algeria

Djamel Touahar

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Faculty of Technology, Batna 2 University, Batna, Algeria

DOI: https://doi.org/10.2478/sbeef-2024-0021 | Journal eISSN: 2286-2455 | Journal ISSN: 1843-6188

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Language: English

Page range: 52 - 66

Published on: Dec 8, 2024

Published by: Valahia University of Targoviste

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Intelligent Systems,

Knowledge Exploitation,

Cement Industry,

Machine Learning,

Support Vector Machine,

Real-Time Control,

Predictive Analysis,

Industrial Optimization,

Process Efficiency

Related subjects:

Electrical engineering,

Fundamentals of electrical engineering,

Bioengineering and biomedical engineering,

Biomedical electronics

© 2024 Hanane Zermane, Ahcene Ziar, Hassina Madjour, Djamel Touahar, published by Valahia University of Targoviste
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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