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Computational intelligence in patter...
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International Conference on Computational Intelligence in Pattern Recognition (2020 :)
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Computational intelligence in pattern recognition = proceedings of CIPR 2020 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational intelligence in pattern recognition/ edited by Asit Kumar Das ... [et al.].
其他題名:
proceedings of CIPR 2020 /
其他題名:
CIPR 2020
其他作者:
Das, Asit Kumar.
團體作者:
International Conference on Computational Intelligence in Pattern Recognition
出版者:
Singapore :Springer Singapore : : 2020.,
面頁冊數:
xxvii, 596 p. :ill. (some col.), digital ;24 cm.
內容註:
Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis -- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments -- Stratification of Indian Dance Forms through Audio Signal -- Forecasting House Price with an Optimum Set of Features -- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction -- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques -- A Proposed Gene Selection Approach for Disease Detection -- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks -- Raw Data Redundancy Elimination on Cloud Database -- Secured Cloud System Using Deep Learning -- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
Contained By:
Springer eBooks
標題:
Computational intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-15-2449-3
ISBN:
9789811524493
Computational intelligence in pattern recognition = proceedings of CIPR 2020 /
Computational intelligence in pattern recognition
proceedings of CIPR 2020 /[electronic resource] :CIPR 2020edited by Asit Kumar Das ... [et al.]. - Singapore :Springer Singapore :2020. - xxvii, 596 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v.11202194-5357 ;. - Advances in intelligent systems and computing ;v.1120..
Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis -- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments -- Stratification of Indian Dance Forms through Audio Signal -- Forecasting House Price with an Optimum Set of Features -- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction -- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques -- A Proposed Gene Selection Approach for Disease Detection -- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks -- Raw Data Redundancy Elimination on Cloud Database -- Secured Cloud System Using Deep Learning -- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4-5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
ISBN: 9789811524493
Standard No.: 10.1007/978-981-15-2449-3doiSubjects--Topical Terms:
704428
Computational intelligence
--Congresses.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational intelligence in pattern recognition = proceedings of CIPR 2020 /
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Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis -- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments -- Stratification of Indian Dance Forms through Audio Signal -- Forecasting House Price with an Optimum Set of Features -- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction -- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques -- A Proposed Gene Selection Approach for Disease Detection -- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks -- Raw Data Redundancy Elimination on Cloud Database -- Secured Cloud System Using Deep Learning -- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
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