Machine Learning and Computer Vision for Renewable Energy (Advances in Environmental Engineering and Green Technologies) - Softcover

Softcover

ISBN 13: 9798369347041

Publisher: Engineering Science Reference, 2024

Synopsis

A deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, this book focuses on the game-changing potential of CV in the realm of renewable energy.

About this title

About the Authors

Pinaki Pratim Acharjya earned his doctorate in philosophy in 2016 from National Institute of Technology, Agartala, Tripura, India. He is currently employed as a professor in the department of computer science and Engineering, Haldia Institute of Technology, Haldia, West Bengal, India. In several AICTE-approved engineering institutions across India, he has more than 15 years of teaching experience and more than fourteen years of research experience. In numerous national and international journals, conferences, books (written/edited), and book chapters, he has published more than hundred research publications. He is currently conducting research in the fields of Deep Learning, Machine Learning, Data Analytics, Blockchain Technology, Digital Image Processing, Computer Vision, and Artificial Intelligence.

Santanu Koley earned his doctorate in philosophy (PhD) from CSJM University in Kanpur, Uttar Pradesh, India in 2013, and he is currently employed as a professor in the department of computer science and engineering at Haldia Institute of Technology in Haldia, West Bengal, India. In addition to sixteen years of teaching experience, he has more than fourteen years of research experience from several AICTE-approved engineering colleges across India. Dr. Koley has published more than 30 research papers in journals and conferences from throughout the nation and the world. The areas of cloud computing, digital image processing, artificial intelligence, and machine learning are where he is currently concentrating his research efforts.

Subhabrata Barman is an Assistant Professor with the Department of Computer Science & Engineering, Haldia Institute of Technology, West Bengal, India. His research interests are in the field of Wireless Networks, Computational Intelligence, Remote Sensing and Geo-Informatics, Parallel and Grid Computing. He has published research papers at various International and National Journals and Conferences. He is a Professional Member of IEEE, IACSIT, IAENG and a reviewer of International Journal of Wireless Networks (Springer).

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2024
• Language: English
• ISBN 13: 9798369347041
• Binding: Paperback
• Number of pages: 333
• Editor: Acharjya Pinaki Pratim, Koley Santanu, Barman Subhabrata