國立虎尾科技大學 |

Computational Intelligence in Machine Learning = Select Proceedings of ICCIML 2021 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Intelligence in Machine Learning/ edited by Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian.
Reminder of title:	Select Proceedings of ICCIML 2021 /
other author:	Kumar, Amit.
Description:	XIV, 528 p. 294 illus., 219 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	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] :edited by Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian. - 1st ed. 2022. - XIV, 528 p. 294 illus., 219 illus. in color.online resource. - Lecture Notes in Electrical Engineering,8341876-1119 ;. - Lecture Notes in Electrical Engineering,317.

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:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational Intelligence in Machine Learning = Select Proceedings of ICCIML 2021 /
LDR:03660nam a22004095i 4500 001 1089392
003 DE-He213
005 20220501152240.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811684845 $9 978-981-16-8484-5
024 7 $a 10.1007/978-981-16-8484-5 $2 doi
035 $a 978-981-16-8484-5
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Computational Intelligence in Machine Learning $h [electronic resource] : $b Select Proceedings of ICCIML 2021 / $c edited by Amit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XIV, 528 p. 294 illus., 219 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Electrical Engineering, $x 1876-1119 ; $v 834
505 0 $a 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.
520 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Machine learning. $3 561253
650 0 $a Artificial intelligence—Data processing. $3 1366684
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Data Science. $3 1174436
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Kumar, Amit. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 784614
700 1 $a Zurada, Jacek M. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 680437
700 1 $a Gunjan, Vinit Kumar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1064228
700 1 $a Balasubramanian, Raman. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1396646
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811684838
776 0 8 $i Printed edition: $z 9789811684852
776 0 8 $i Printed edition: $z 9789811684869
830 0 $a Lecture Notes in Electrical Engineering, $x 1876-1100 ; $v 317 $3 1253457
856 4 0 $u https://doi.org/10.1007/978-981-16-8484-5
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)