001444975 000__ 04810cam\a2200661Ii\4500 001444975 001__ 1444975 001444975 003__ OCoLC 001444975 005__ 20230310003805.0 001444975 006__ m\\\\\o\\d\\\\\\\\ 001444975 007__ cr\un\nnnunnun 001444975 008__ 220307s2022\\\\si\a\\\\o\\\\\100\0\eng\d 001444975 019__ $$a1302327214$$a1302575079 001444975 020__ $$a9789811684845$$q(electronic bk.) 001444975 020__ $$a9811684847$$q(electronic bk.) 001444975 020__ $$z9789811684838 001444975 020__ $$z9811684839 001444975 0247_ $$a10.1007/978-981-16-8484-5$$2doi 001444975 035__ $$aSP(OCoLC)1302237507 001444975 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ 001444975 049__ $$aISEA 001444975 050_4 $$aQ342$$b.I58 2021 001444975 08204 $$a006.3$$223 001444975 1112_ $$aInternational Conference on Computational Intelligence in Machine Learning$$d(2021 :$$cOnline). 001444975 24510 $$aComputational intelligence in machine learning :$$bselect proceedings of ICCIML 2021 /$$cAmit Kumar, Jacek M. Zurada, Vinit Kumar Gunjan, Raman Balasubramanian, editors. 001444975 24630 $$aICCIML 2021 001444975 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001444975 264_4 $$c©2022 001444975 300__ $$a1 online resource :$$billustrations (chiefly color). 001444975 336__ $$atext$$btxt$$2rdacontent 001444975 337__ $$acomputer$$bc$$2rdamedia 001444975 338__ $$aonline resource$$bcr$$2rdacarrier 001444975 4901_ $$aLecture notes in electrical engineering ;$$vvolume 834 001444975 500__ $$aSelected conference papers. 001444975 500__ $$aConference held in a virtual format. 001444975 5050_ $$aMachine 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. 001444975 506__ $$aAccess limited to authorized users. 001444975 520__ $$aThe 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. 001444975 588__ $$aDescription based on print version record. 001444975 650_0 $$aComputational intelligence$$vCongresses. 001444975 650_0 $$aMachine learning$$vCongresses. 001444975 650_6 $$aIntelligence informatique$$vCongrès. 001444975 650_6 $$aApprentissage automatique$$vCongrès. 001444975 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001444975 655_7 $$aConference papers and proceedings.$$2lcgft 001444975 655_7 $$aActes de congrès.$$2rvmgf 001444975 655_0 $$aElectronic books. 001444975 7001_ $$aKumar, Amit,$$cDr.,$$eeditor. 001444975 7001_ $$aZurada, Jacek M.,$$eeditor. 001444975 7001_ $$aGunjan, Vinit Kumar,$$eeditor. 001444975 7001_ $$aBalasubramanian, Raman,$$eeditor. 001444975 77608 $$iPrint version:$$aInternational Conference on Computational Intelligence in Machine Learning (2021), creator.$$tComputational Intelligence in Machine Learning.$$dSingapore : Springer, 2022$$z9789811684838$$w(OCoLC)1295125373 001444975 830_0 $$aLecture notes in electrical engineering ;$$vv. 834. 001444975 852__ $$bebk 001444975 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8484-5$$zOnline Access$$91397441.1 001444975 909CO $$ooai:library.usi.edu:1444975$$pGLOBAL_SET 001444975 980__ $$aBIB 001444975 980__ $$aEBOOK 001444975 982__ $$aEbook 001444975 983__ $$aOnline 001444975 994__ $$a92$$bISE