Overview
- Discusses various aspects of biophysics
- Covers eight different aspects of natural intelligence
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Studies in Rhythm Engineering (SRE)
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Table of contents (9 chapters)
Editors and Affiliations
About the editors
Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in Physics from Calcutta University and the Ph.D. degree in Physics from Jadavpur University, West Bengal, India. He has been Professor of Physics and Electronics and Communication and is presently working as Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology, and applied physics. He has been serving as Editor for various Springer book series. He was Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand, and Malaysia for various academic missions.
Bibliographic Information
Book Title: Rhythmic Advantages in Big Data and Machine Learning
Editors: Anirban Bandyopadhyay, Kanad Ray
Series Title: Studies in Rhythm Engineering
DOI: https://doi.org/10.1007/978-981-16-5723-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-5722-1Published: 11 January 2022
Softcover ISBN: 978-981-16-5725-2Published: 12 January 2023
eBook ISBN: 978-981-16-5723-8Published: 10 January 2022
Series ISSN: 2524-5546
Series E-ISSN: 2524-5554
Edition Number: 1
Number of Pages: XI, 262
Number of Illustrations: 33 b/w illustrations, 46 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Biological and Medical Physics, Biophysics, Machine Learning