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Computational intelligence in machine learning = proceedings of the 2nd International Conference ICCIML 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence in machine learning/ edited by Vinit Kumar Gunjan ... [et al.].
其他題名:	proceedings of the 2nd International Conference ICCIML 2022 /
其他題名:	ICCIML 2022
其他作者:	Gunjan, Vinit Kumar.
團體作者:	ICCIML (Conference)
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xii, 707 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/10.1007/978-981-99-7954-7
ISBN:	9789819979547

Computational intelligence in machine learning = proceedings of the 2nd International Conference ICCIML 2022 /
Computational intelligence in machine learningproceedings of the 2nd International Conference ICCIML 2022 /[electronic resource] :ICCIML 2022edited by Vinit Kumar Gunjan ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xii, 707 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 11061876-1119 ;. - Lecture notes in electrical engineering ;v. 1106..

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.

This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022) The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

ISBN: 9789819979547

Standard No.: 10.1007/978-981-99-7954-7doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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