Overview
- Presents innovations in bio-inspired computing applications
- Includes the proceedings of the International Conference on Computational Vision and Bio Inspired Computing, held in Coimbatore, India, on September 25–26, 2019
- Describes new algorithms and research findings
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1108)
Included in the following conference series:
Conference proceedings info: ICCVBIC 2019.
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Table of contents(147 papers)
Other volumes
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Computational Vision and Bio-Inspired Computing
About this book
This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models.
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.
Editors and Affiliations
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Department of CSE, RVS Technical Campus, Coimbatore, India
S. Smys
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Faculty of Engineering, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal
João Manuel R. S. Tavares
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Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania
Valentina Emilia Balas
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School of Computing, Tokyo Institute of Technology, Tokyo, Japan
Abdullah M. Iliyasu
Bibliographic Information
Book Title: Computational Vision and Bio-Inspired Computing
Book Subtitle: ICCVBIC 2019
Editors: S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-37218-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-37217-0Published: 08 January 2020
eBook ISBN: 978-3-030-37218-7Published: 06 January 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXV, 1413
Number of Illustrations: 720 b/w illustrations
Topics: Computational Intelligence, Machine Learning, Image Processing and Computer Vision