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Proceedings of the International Conference on Cognitive and Intelligent Computing : ICCIC 2021, Volume 1 / edited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu, Takako Hashimoto
(Cognitive Science and Technology. ISSN:21953996)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XI, 925 p. 503 illus., 399 illus. in color : online resource
著者標目	Kumar, Amit editor Ghinea, Gheorghita editor Merugu, Suresh editor Hashimoto, Takako editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001602	Computer Scinece R0 2005-6,2022-3				9789811923500

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一般注記	1. An Extensive Survey of Deep learning-based Crop Yield Prediction Models for Precision Agriculture -- 2. Performance Analysis of Routing Protocols for Wireless Sensor Networks -- 3. LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things -- 4. Prediction of Deformed Shape inIncremental Sheet Forming Processusing Feedforward Neural Network -- 5. IoT Based Environmental Parameter Monitoring Using Machine Learning Approach This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing HTTP:URL=https://doi.org/10.1007/978-981-19-2350-0
件　名	LCSH:Computational intelligence LCSH:Machine learning LCSH:Artificial intelligence LCSH:Data mining LCSH:Internet of things FREE:Computational Intelligence FREE:Machine Learning FREE:Artificial Intelligence FREE:Data Mining and Knowledge Discovery FREE:Internet of Things
分　類	LCC:Q342 DC23:006.3
書誌ID	EB00000990
ISBN	9789811923500