Computational intelligence in machine learning : select proceedings of ICCIML 2021 / Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian, editors.
International Conference on Computational Intelligence in Machine Learning (2021 : Online).; Kumar, Amit, Dr., editor.; Zurada, Jacek M., editor.; Gunjan, Vinit Kumar, editor.; Balasubramanian, Raman, editor.
2022
Q342 .I58 2021
Available Online

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Title Computational intelligence in machine learning : select proceedings of ICCIML 2021 / Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian, editors.
Meeting Name International Conference on Computational Intelligence in Machine Learning (2021 : Online).
ISBN 9789811684845 (electronic bk.)
9811684847 (electronic bk.)
9789811684838
9811684839
DOI https://doi.org/10.1007/978-981-16-8484-5
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-981-16-8484-5 doi
Call Number Q342 .I58 2021
Dewey Decimal Classification 006.3
Summary 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.
Note Selected conference papers.
Conference held in a virtual format.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Kumar, Amit, Dr., editor.
Zurada, Jacek M., editor.
Gunjan, Vinit Kumar, editor.
Balasubramanian, Raman, editor.
Series Lecture notes in electrical engineering ; v. 834.
Available in Other Form Computational Intelligence in Machine Learning.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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