Deep Learning in Gaming and Animations: Principles and Applications - Couverture rigide

Couverture rigide

ISBN 10 : 1032126094 ISBN 13 : 9781032126098

Editeur : CRC Press, 2021

Synopsis

The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.

A propos du livre

À propos de l?auteur

Vikas Chaudhary is working as a professor in the Computer Science & Engineering department at JIMS Engineering Management Technical Campus, Greater Noida. He has 18 years of teaching and research experience. He has obtained a Doctorate from the National Institute of Technology, Kurukshetra, India, in Machine Learning/ Unsupervised Learning. He has published various research papers in the International Journals of Springer, Elsevier, Taylor & Francis. Also, he has published various papers in IEEE International Conferences and national conferences. He is a reviewer of Springer Journal as well as of many IEEE conferences. He has written a book on Cryptography & Network Security. His research area is Machine Learning, Artificial Neural Networks.

Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has published scientific research publications in reputed International Journals and Conferences, including SCI indexed and Scopus indexed Journals such as Cognitive Systems Research (Elsevier), Physical Communication(Elsevier), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) & Innovative Computing and Communication Journal (Scientific Peer-reviewed Journal). He has authored/co-authored in chapters with International publishers like Elsevier, Wiley, De Gruyter. He has authored/ edited three books with a National/International level publisher (CRC Press, Bhavya publications). His research area includes Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies like ISTE, IAENG, ICSES, UACEE, Internet Society, etc. He possesses teaching experience of more than nine years. He is the co-convener of the ICICC-2018, ICICC-2019& ICICC-2020 springer conference series and also the co-convener of ICCRDA-2020 Scopus Indexed IOP Material Science &Engineering conference series. He is also the reviewer of many reputed journals like Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group and World Scientific Journal, and many springer conferences. He is currently a doctoral researcher at DCR University of Science & Technology, Haryana. He completed his Post Graduate in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduate in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.

Prerna Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU Delhi. She has authored/co-authored SCI-indexed journal and Scopus indexed journal articles in high ranked and prestigious journals such as Journal of Supercomputing(Springer), Cognitive Systems Research(Elsevier), Expert Systems (Wiley) International Journal of Innovative Computing and Applications (Inderscience). She has also authored book chapters with International level publishers (Wiley & Elsevier). She has extensively worked on Computational Intelligence. Her area of interest includes Artificial Intelligence, Machine learning, Nature-Inspired Computing, Soft Computing, and Cloud computing. She is associated with various professional bodies like IAENG, ICSES, UACEE, Internet Society, etc. She has a rich academic background and teaching experience of 8 years. She is a doctoral researcher at Delhi Technological University (DTU), Delhi. She completed her Post Graduate in 2011 from USIT, GGSIPU, and Graduate in 2009 from GPMCE, GGSIPU.

Deevyankar Agarwal is working as a lecturer in the Engineering Department-EEE Section (Computer Engineering) at the University of Technology & Applied Sciences(Public University), Muscat, Oman. He has 20 years of teaching and research experience. He is currently a doctoral researcher at the University of Valladolid, Spain. He has published various research papers in the International Journals of Springer, Elsevier, Taylor & Francis. Also, he has published various papers in IEEE International Conferences and national conferences. He is a reviewer of Springer Journal as well as of many IEEE conferences.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1032126094
• ISBN 13: 9781032126098
• Reliure: Relié
• Nombre de pages: 156
• Éditeur: Chaudhary Vikas, Sharma Moolchand, Sharma Prerna, Agarwal Deevyankar
• Coordonnées du fabricant: non disponible