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Proceedings of the International Con...

International Conference on Cognitive and Intelligent Computing ((2021 :)

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Proceedings of the International Conference on Cognitive and Intelligent Computing = ICCIC 2021.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the International Conference on Cognitive and Intelligent Computing/ edited by Amit Kumar ... [et al.].
其他題名:	ICCIC 2021.
其他題名:	ICCIC 2021
其他作者:	Kumar, Amit.
團體作者:	International Conference on Cognitive and Intelligent Computing
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xi, 925 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Soft computing - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-2350-0
ISBN:	9789811923500

Proceedings of the International Conference on Cognitive and Intelligent Computing = ICCIC 2021.. Volume 1 /
Proceedings of the International Conference on Cognitive and Intelligent ComputingICCIC 2021.Volume 1 /[electronic resource] :ICCIC 2021edited by Amit Kumar ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xi, 925 p. :ill. (some col.), digital ;24 cm. - Cognitive science and technology,2195-3996. - Cognitive science and technology..

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.

ISBN: 9789811923500

Standard No.: 10.1007/978-981-19-2350-0doiSubjects--Topical Terms:

606821
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63 / I57 2021

Dewey Class. No.: 006.3

Proceedings of the International Conference on Cognitive and Intelligent Computing = ICCIC 2021.. Volume 1 /
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