Graph Convolutional Neural Networks for Computer Vision
- Nyhet
Inbunden, Engelska, 2026
Av Malini Alagarsamy, Rajesh Kumar Dhanaraj, J. Felicia Lilian, Vandana Sharma, George Ghinea, India) Dhanaraj, Rajesh Kumar (Galgotias University, J Felicia Lilian
2 699 kr
Produktinformation
- Utgivningsdatum2026-03-31
- FormatInbunden
- SpråkEngelska
- Antal sidor352
- FörlagJohn Wiley & Sons Inc
- ISBN9781394356331
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Malini Alagarsamy, PhD is an assistant professor at the Thiagarajar College of Engineering. She has published more than 30 research papers in journals and national and international conferences. Her research interests include software engineering, mobile application development, green computing, Internet of Things, blockchain, and machine learning. Rajesh Kumar Dhanaraj, PhD is a Professor in the School of Computing Science and Engineering at Galgotias University. He has authored and edited more than 25 books and 53 articles in international journals and conferences and holds 21 patents. His research interests include machine learning, cyber-physical systems, and wireless sensor networks. J. Felicia Lilian is an Assistant Professor at the Thiagarajar College of Engineering. She has published more than 10 articles in international journals and conferences. Her research interests include natural language processing, machine learning, and deep learning. Vandana Sharma, PhD is an Associate Professor at the Amity Institute of Information Technology at the Amity University Noida Campus with more than 14 years of teaching experience. She has published 25 research papers in international journals and conferences. Her primary areas of interest include artificial intelligence, machine learning, blockchain technology, and the Internet of Things (IoT). George Ghinea, PhD is a Professor in the Department of Computer Science at Brunel University London. He has more than 600 publications to his credit, including book chapters and research articles in international journals of repute. His research centers on extending the notion of multimedia with that of mulsemedia, a term to denote multiple sensorial media.
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