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Proceedings of the 2nd International...
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International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (2021 :)
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Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2021 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications/ edited by Vinit Kumar Gunjan, Jacek M. Zurada.
其他題名:
ICMISC 2021 /
其他題名:
ICMISC 2021
其他作者:
Gunjan, Vinit Kumar.
團體作者:
International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
出版者:
Singapore :Springer Singapore : : 2022.,
面頁冊數:
xxiv, 827 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Machine learning - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-16-6407-6
ISBN:
9789811664076
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2021 /
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
ICMISC 2021 /[electronic resource] :ICMISC 2021edited by Vinit Kumar Gunjan, Jacek M. Zurada. - Singapore :Springer Singapore :2022. - xxiv, 827 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 2372367-3389 ;. - Lecture notes in networks and systems ;v. 237..
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 Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and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 their capabilities in solving a diverse range of problems in industries and its real-world applications.
ISBN: 9789811664076
Standard No.: 10.1007/978-981-16-6407-6doiSubjects--Topical Terms:
576368
Machine learning
--Congresses.
LC Class. No.: Q325.5 / .I57 2021
Dewey Class. No.: 006.31
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2021 /
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