Details
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
ICMISC 2021Lecture Notes in Networks and Systems, Band 237
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255,73 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 10.01.2022 |
| ISBN/EAN: | 9789811664076 |
| Sprache: | englisch |
| Anzahl Seiten: | 827 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.<br>
<b>Vinit Kumar Gunjan</b> is an Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier and Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE; an active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary and Chairman of IEEE Young Professionals Affinity Group and IEEE Computer Society. Was involved as organizer in many technical and non-technical workshops, seminars and conferences of IEEE and Springer. During the tenure, worked with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.<br><p></p><div><br></div><div><b>Dr. Jacek Zurada</b> (SM’85, F’96, LF’14) is Professor of Electrical and Computer Engineering and Director of the Computational Intelligence Laboratory at the University of Louisville, Louisville, Kentucky, USA, where he served as Department Chair and a Distinguished University Scholar. He was Professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore, Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France, and was Postdoctoral Fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland. His work has 16,000 Google Scholar citations. <br></div>
This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and theircapabilities in solving a diverse range of problems in industries and its real-world applications.<br>
Presents high-quality research papers in artificial intelligence and machine learning Features the outcomes of ICMISC 2021, held in Hyderabad, India Serves as a reference resource for researchers and practitioners in academia and industry
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