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Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2022: 1439 (Advances in Intelligent Systems and Computing) - Softcover
Inhaltsangabe
This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes 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.
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Über die Autorin bzw. den Autor
Dr. S. Smys received his M.E and Ph.D. degrees in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier. He is serving as reviewer for IET, Springer, Inderscience, and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been General Chair, Session Chair, TPC Chair, and Panelist in several international conferences. He is a senior member of IEEE and IACSIT wireless research group. Currently, he is working as Professor in the Department of CSE at RVS Technical Campus, Coimbatore, India.
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 fromthe 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). João Tavares is co-editor of more than 60 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization published by Taylor & Francis, Editor-in-Chief of the journal Computer Methods in Biomechanics and Biomedical Engineering published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction and new product development. (More information can be found at: www.fe.up.pt/~tavares)
Dr. Fuqian Shi is currently working in Rutgers University, New Brunswick, USA. He has published more papers in standard journals and conferences. He has acted as committee Member in many international conferences and editorial board in refereed journals. He acted as reviewer in many reputed journals. He is amember 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 interests include computer networks, computer programming, computer graphics, image processing, data structure, operating system, and medical informatics.
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This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes 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.
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Computational Vision and Bio-Inspired Computing
ISBN 10: 9811998183
ISBN 13: 9789811998188
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Taschenbuch. Zustand: Neu. Neuware -This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 848 pp. Englisch. Artikel-Nr. 9789811998188
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Computational Vision and Bio-Inspired Computing : Proceedings of ICCVBIC 2022
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Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811998183
ISBN 13: 9789811998188
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes 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. Artikel-Nr. 9789811998188
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