Overview
- Presents recent research in the field of machine learning, internet of things and big data
- Discusses the outcomes of the ICMIB 2021, held in Sarang, India
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 431)
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Table of contents (58 papers)
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Front Matter
Keywords
About this book
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things, and Big Data (ICMIB 2021) held at Indira Gandhi Institute of Technology, Sarang, India, during December 2021. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing, and statistical analysis of search techniques.
Editors and Affiliations
About the editors
Prof. Siba Kumar Udgata is Professor in Computer and Information Sciences at University of Hyderabad, India. He has a Ph.D. in Computer Science in the area of mobile computing and wireless communications and also worked as United Nations Fellow and worked in the UNU/IIST, Macau. His research focus is on wireless communication, mobile computing, intelligent sensors, sensor network algorithms, Internet of Things, and applications. He was Volume Editor for several Springer LNAI, AISC International Conference proceedings, and also Associate Editor and Editorial Board Member of IOS Press KES Journal and Elsevier AKCE International Journal of Graphs and Combinatorics. Prof. Udgata has published more than 100 research papers in reputed international journals and conference proceedings. He has worked as Principal Investigator in many Government of India funded research projects mainly for the development of wireless sensor network applications, network security-related applications, and application of swarm intelligence techniques in the cognitive radio network domain.
Dr. Srinivas Sethi is Professor and has been actively involved in teaching and research in Computer Science since 1997. He did his Ph. D., in the area of Mobile Ad hoc Network, and is also continuing his work in wireless communication, sensor network, cognitive radio network, IOT, BCI, and cloud computing. He was Volume Editor for Springer LNNS, International Conference proceedings, Board for different journal and Program Committee Member for different international conferences/ workshop. Now he is working as Faculty in the Department of Computer Science Engineering and Application at Indira Gandhi Institute of Technology Sarang, India, and has published more than 80 research papers in International journals and conference proceedings. He completed 7 research projects funded by different Government of India funding agencies such as DST, AICTE, NPIU, and DRDO.
Prof. Xiao-Zhi Gao is Full Professor at School of Computing, University of Eastern Finland, Finland. He heads the nature-inspired machine learning research group at UEF. His main research interests are bio-inspired computing, nature-inspired computing, machine learning, soft computing, data mining, and communication networks. He has published more than 400 papers in different international journals and conferences of repute. He has been associated with many international conference as Technical Program Co-chair, member and editorial board member also.
Bibliographic Information
Book Title: Intelligent Systems
Book Subtitle: Proceedings of ICMIB 2021
Editors: Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-19-0901-6
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Softcover ISBN: 978-981-19-0900-9Published: 04 May 2022
eBook ISBN: 978-981-19-0901-6Published: 03 May 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXXIII, 689
Number of Illustrations: 54 b/w illustrations, 296 illustrations in colour
Topics: Cyber-physical systems, IoT, Professional Computing, Machine Learning, Big Data, Computational Intelligence