Artificial Intelligence and Machine Learning Algorithms for Engineering Applications

Author:   Krishan Arora (LPU, India) ,  Himanshu Sharma (G.H. Raisoni College of Engineering and Management, India) ,  Aeidapu Mahesh (Sardar Vallabhbhai National Institute of Technology, India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032900520


Pages:   296
Publication Date:   15 September 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Artificial Intelligence and Machine Learning Algorithms for Engineering Applications


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Author:   Krishan Arora (LPU, India) ,  Himanshu Sharma (G.H. Raisoni College of Engineering and Management, India) ,  Aeidapu Mahesh (Sardar Vallabhbhai National Institute of Technology, India)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.740kg
ISBN:  

9781032900520


ISBN 10:   1032900520
Pages:   296
Publication Date:   15 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Krishan Arora is presently working as an associate professor, and head of the Department, of Power Systems in the School of Electronics and Electrical Engineering, at Lovely Professional University, Punjab. India. He has published more than 70 research papers in refereed Science Journals and Conferences. His areas of expertise include electrical machines, non-conventional energy sources, load frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics at senior undergraduate and graduate levels. Himanshu Sharma is currently working as an associate professor, at G.H. Raisoni College of Engineering and Management, Maharashtra, India. He has published research papers in journals and conferences of national and international repute. His area of expertise includes power electronics, optimization techniques, load-frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics. Aeidapu Mahesh works as an assistant professor, in the Department of Electrical Engineering, at Sardar Vallabhbhai National Institute of Technology, Surat, India. He has published journal papers and presented papers at national and international conferences. His research interests include hybrid renewable energy systems, evolutionary optimization techniques, power electronics, and drives.

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