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Computational intelligence in machin...

International Conference on Computational Intelligence in Machine Learning ((2021 :)

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Computational intelligence in machine learning = select proceedings of ICCIML 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence in machine learning/ edited by Amit Kumar ... [et al.].
其他題名:	select proceedings of ICCIML 2021 /
其他題名:	ICCIML 2021
其他作者:	Kumar, Amit.
團體作者:	International Conference on Computational Intelligence in Machine Learning
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xiv, 528 p. :ill., digital ;24 cm.
內容註:	Machine Learning-based Project Resource Allocation Fitment Analysis System - (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis - A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
Contained By:	Springer Nature eBook
標題:	Computational intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-8484-5
ISBN:	9789811684845

Computational intelligence in machine learning = select proceedings of ICCIML 2021 /
Computational intelligence in machine learningselect proceedings of ICCIML 2021 /[electronic resource] :ICCIML 2021edited by Amit Kumar ... [et al.]. - Singapore :Springer Singapore :2022. - xiv, 528 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 8341876-1119 ;. - Lecture notes in electrical engineering ;v. 834..

Machine Learning-based Project Resource Allocation Fitment Analysis System - (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis - A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.

The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021) The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.

ISBN: 9789811684845

Standard No.: 10.1007/978-981-16-8484-5doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I58 2021

Dewey Class. No.: 006.3

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