Proceedings of the International Conference on Cognitive and Intelligent Computing
ICCIC 2021, Volume 1
Series: Cognitive Science and Technology;
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155 319 Ft
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer Nature Singapore
- Date of Publication 1 November 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811923494
- Binding Hardback
- No. of pages925 pages
- Size 235x155 mm
- Weight 1568 g
- Language English
- Illustrations XI, 925 p. 503 illus., 399 illus. in color. Illustrations, black & white 300
Categories
Long description:
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.
MoreTable of Contents:
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.
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