Intelligent Systems : Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023)
Language: English
Published by Springer, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 329.13
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10-12, 2023. 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 health care, sensor networks and social sensing, and statistical analysis of search techniques.
Seller Inventory # 9789819939312
- Title
- Intelligent Systems : Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023)
- Author
- Siba K. Udgata
- Publisher
- Springer
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819939313
- ISBN 13
- 9789819939312
- Item weight
- 1,071 grams
- Dimensions
- 235x155x32 mm
This book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10–12, 2023. 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 health care, sensor networks and social sensing, and statistical analysis of search techniques.
"Synopsis" may belong to another edition of this title.
About the Author
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. His recent publications dealing with modeling of infectious diseases and cure rate are very well acclaimed.
"About the title" may belong to another edition of this title.
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