LEADER 04442nam 22006855 450 001 9910838282603321 005 20250807143414.0 010 $a9789819979547 010 $a9819979544 024 7 $a10.1007/978-981-99-7954-7 035 $a(MiAaPQ)EBC31172450 035 $a(Au-PeEL)EBL31172450 035 $a(DE-He213)978-981-99-7954-7 035 $a(CKB)30464532100041 035 $a(OCoLC)1423042355 035 $a(EXLCZ)9930464532100041 100 $a20240220d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence in Machine Learning $eProceedings of the 2nd International Conference ICCIML 2022 /$fedited by Vinit Kumar Gunjan, Amit Kumar, Jacek M. Zurada, Sri Niwas Singh 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (686 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1106 311 08$a9789819979530 311 08$a9819979536 327 $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. 330 $aThis volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1106 606 $aComputational intelligence 606 $aMachine learning 606 $aArtificial intelligence$xData processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aMachine Learning 606 $aData Science 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aArtificial intelligence$xData processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aData Science. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aGunjan$b Vinit Kumar$0846445 701 $aKumar$b Amit$0720810 701 $aZurada$b Jacek M$0771206 701 $aSingh$b S. N$g(Sri Niwas)$01372639 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910838282603321 996 $aComputational Intelligence in Machine Learning$94408761 997 $aUNINA