Computational Vision and Bio-Inspired Computing : ICCVBIC 2020
Language: English
Published by Springer, 2021
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
US$ 354.52
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.…
Seller Inventory # 9789813368613
- Title
- Computational Vision and Bio-Inspired Computing : ICCVBIC 2020
- Author
- Robert Bestak
- Publisher
- Springer
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9813368616
- ISBN 13
- 9789813368613
- Item weight
- 1,323 grams
- Dimensions
- 235x155x48 mm
This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
"Synopsis" may belong to another edition of this title.
About the Author
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human–computer interaction and new product development.
Dr. Fuqian Shi currently working as Graduate Faculty Scholar, College of Graduate Studies at the University of Central Florida, USA. He has published more papers in standard journal and conferences. He has acted as a committee member in many international conferences and editorial board in refereed journals. He acted as a reviewer in many reputed journals. He is a member of professional bodies like IEEE, IEEE Computer Society, Society, Man and Cybernetics, Computational Information System, ACM, Zhejiang Provincial Industrial Design Association and Information Management Association of Wenzhou City. His research interest includes computer networks, computer programming, computer graphics, image processing, data structure, operating system and medical informatics.
Robert Bestak obtained Ph.D. degree in Computer Science from ENST Paris, France (2003) and M.Sc. degree in Telecommunications from Czech Technical University in Prague, CTU, Czech Republic (1999). Since 2004, he has been an Assistant Professor at the Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. He participated in several national, EU, and third party research projects. He is the Czech representative in the IFIP TC6 organization, and chair of the working group TC6 WG6.8. He annually serves as Steering and Technical Program Committee member of numerous IEEE/IFIP conferences (Networking, WMNC, NGMAST, etc.) and he is member of editorial board of several international journals (Computers & Electrical Engineering, Electronic Commerce Research Journal, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.
"About the title" may belong to another edition of this title.
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