Overview
- Presents research works in the field of intelligent computing
- Results of ICCC 2020 held in Andhra Pradesh, India during 20 – 21 March 2020
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 702)
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Table of contents (53 papers)
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Himansu Sekhar Behera is working as an Associate Professor in the Department of Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Government of Odisha), Burla, Odisha. He has received M.Tech. in Computer Science & Engineering from NIT, Rourkela (formerly REC, Rourkela), and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Government of Odisha, respectively. He has published more than 90 research papers in various international journals and conferences, edited 11 books and is acting as a member of the editorial/reviewer board of various international journals. He is proficient in the field of computer science engineering, served the capacity of program chair and tutorial chair and acts as advisory member of committees of many national and international conferences. His research interest includes data mining and intelligent computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD, CSI, OMS, AIAER, SMIAENG and SMCSTA. He is currently guiding seven Ph.D. scholars, and five scholars have been awarded under his guidance.
Dr. Janmenjoy Nayak is working as an Associate Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM) (An Autonomous Institution declared by UGC), Tekkali, Andhra Pradesh, India. He has published more than 80 research papers in various reputed peer-reviewed refereed journals, international conferences and book chapters. He is the recipient of best researcher award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh, for the AY: 2018–2019, Gold Medalist in Computer Science (two times) and many other awards of national repute. Moreover, he is the recipient of Outstanding Reviewer for the Journal “Engineering Applications of Artificial Intelligence” for 2017, by Elsevier Publications. His area of interest includes data mining, nature-inspired algorithms and soft computing. He is the regular member of IEEE and life member of some of the reputed societies like CSI India. He has edited four books from various publishers such as Elsevier, Springer and IGI Global. He has been serving as Guest Editor of various journal special issues from Elsevier, Springer and Inderscience. He is the author of one textbook and has served as Volume Editor of the Springer proceedings of six international conferences of various themes of soft computing, intelligent computing, etc.
Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Application, Veer Surendra Sai University of Technology (Formerly UCE Burla), Odisha, India. He received his Ph.D. in Computer Science and Engineering, M.Tech. in Computer Science and Engineering and B.E. in Information Technology in 2016, 2009 and 2006, respectively. He has published more than 70 research papers in various reputed peer-reviewed international journals, conferences and book chapters. He has edited four books from various publishers such as Elsevier, Springer and IGI Global. At present, he has more than ten years of teaching experience in the field of computer science and IT. He is a member of IEEE. His area of interest includes data mining, computational intelligence, soft computing and its applications. He has been serving as Guest Editor of various journal special issues from Elsevier, Springer and Inderscience. He has served as Convener & Volume Editor of the International Conference on Computational Intelligence in Data Mining (ICCIDM-2017, ICCIDM-2018) and International Conference on Computational Intelligence in Pattern Recognition – 2019, IIEST, Shibpur, West Bengal.
Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Presently, he is holding the position of Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier), he served as Guest Editor for Elsevier, Springer and Inderscience journals, as program member of many conferences and as editorial board member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Learning, his research interests include intelligent computing, communication system, fuzzy logic, neural networks, information theory and evolutionary algorithms.
Bibliographic Information
Book Title: Intelligent Computing in Control and Communication
Book Subtitle: Proceeding of the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020)
Editors: G.T. Chandra Sekhar, H. S. Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-15-8439-8
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-8438-1Published: 05 January 2021
Softcover ISBN: 978-981-15-8441-1Published: 06 January 2022
eBook ISBN: 978-981-15-8439-8Published: 04 January 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXV, 691
Number of Illustrations: 112 b/w illustrations, 338 illustrations in colour
Topics: Communications Engineering, Networks, Control, Robotics, Mechatronics, Energy Systems, Signal, Image and Speech Processing, Computational Intelligence