Evolution in Computational Intelligence / Smart Innovation, Systems and Technologies Bd.326 (PDF)
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The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 - 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA), and a co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 250 peer-reviewed research papers with more than 65,000
Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan in 2010. He is currently a full Professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 400 research articles in top-tier journals and conferences, 12 edited books, as well as 33 patents (held and filed, 3 US patents). His research interests include data analytics, soft computing, artificial intelligence/machine learning, optimization, IoT, and privacy preserving and security technologies. He is the Editor-in-Chief of the International Journal of Data Science and Pattern Recognition. He has recognized as the most cited Chinese Researcher respectively in 2018, 2019, and 2020 by Scopus/Elsevier. He is the Fellow of IET (FIET), senior member for both IEEE and ACM.
Dr. Ranjita Das is currently serving as a Head and Assistant Professor, Department of Computer Science and Engineering, National Institute of Technology Mizoram. She has joined the National Institute of Technology Mizoram in the year 2011. She did her PhD. from NIT Mizoram, M. Tech from Tezpur University, and B. Tech. from NIT Agartala. She has over 10 years of teaching experience. Her research was in the area of Pattern Recognition, Information retrieval, Computational biology, and Machine learning. She has published 20 journal and International conference papers in various journals with SCI impact factors, SCOPUS index, and also in Conf proceedings of Springer, IEEE, etc. She has two ongoing sponsored projects funded by DBT and SERB. Under her supervision presently ten research scholars are doing research work. She was recipient of Best paper awards in the conferences IEEE-INDICON-2017, ICACCP-2019, IC4E-2020.
- 2023, 2023, 641 Seiten, Englisch
- Herausgegeben: Vikrant Bhateja, Xin-She Yang, Jerry Chun-Wei Lin, Ranjita Das
- Verlag: Springer Nature Singapore
- ISBN-10: 9811975132
- ISBN-13: 9789811975134
- Erscheinungsdatum: 25.04.2023
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- Dateiformat: PDF
- Größe: 16 MB
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