Advances of Artificial Intelligence in a Green Energy Environment
Language: English
Published by Elsevier Inc, 2022
- Softcover
- New



Condition: New
£ 113.95
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Advances of Artificial Intelligence in a Green Energy Environment | Pandian Vasant (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Inc | EAN 9780323897853 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.
Seller Inventory # 120521947
- Title
- Advances of Artificial Intelligence in a Green Energy Environment
- Author
- Pandian Vasant (u. a.)
- Publisher
- Elsevier Inc
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323897851
- ISBN 13
- 9780323897853
- Item weight
- 662 grams
- Dimensions
- 226 x 149 x 24 mm
- Seller catalogs
- Bücher
Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern.
Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy.
Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.
- Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide
- Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms
- Includes flowchart diagrams for exampling optimizing techniques
"Synopsis" may belong to another edition of this title.
About the Author
J. Joshua Thomas is an Associate Professor at UOW Malaysia KDU Penang University College. He obtained his PhD (Intelligent Systems Techniques) from University Sains Malaysia, Penang, and master’s degree from Madurai Kamaraj University, India. He is working with deep learning algorithms, specially targeting on graph convolutional neural networks and bidirectional recurrent neural networks for drug target interaction and image tagging with embedded natural language processing. His work involves experimental research with software prototypes and mathematical modeling and design.
Elias Munapo holds a BSc in Applied Mathematics, an MSc in Operations Research, and a PhD in Applied Mathematics, all from the National University of Science and Technology (N.U.S.T.) in Zimbabwe. Elias has vast experience in university education and has worked for five institutions of higher learning. He was a lecturer at Zimbabwe Open University, Chinhoyi University of Technology, and University of South Africa. He became a Senior Lecturer at the University of KwaZulu-Natal and then joined North West University as an Associate Professor in 2016 and has been appointed as a Professor since January 2019.rofessor
Gerhard-Wilhelm Weber is a Professor at Poznan University of Technology, Poznan, Poland, at Faculty of Engineering Management, in the Chair of Marketing and Economic Engineering. His research is on data mining, analytics, AI, machine learning, mathematics, operational research, finance, economics, optimization and optimal control, neuro-, bio-, and earth sciences, medicine, and development; he is involved in the organization of scientific life internationally.
"About the title" may belong to another edition of this title.
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