04700nam a22006015i 4500 978-981-99-7954-7 DE-He213 20251030111435.0 cr nn 008mamaa 240220s2024 si | s |||| 0|eng d 9789819979547 978-981-99-7954-7 10.1007/978-981-99-7954-7 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Computational Intelligence in Machine Learning [electronic resource] : Proceedings of the 2nd International Conference ICCIML 2022 / edited by Vinit Kumar Gunjan, Amit Kumar, Jacek M. Zurada, Sri Niwas Singh. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 707 p. 385 illus., 318 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 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. Computational intelligence. 64052 Machine learning. 55059 Artificial intelligence Data processing. Artificial intelligence. 58441 Computational Intelligence. 64052 Machine Learning. 55059 Data Science. Artificial Intelligence. 58441 Gunjan, Vinit Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 68015 Kumar, Amit. editor. edt http://id.loc.gov/vocabulary/relators/edt 65964 Zurada, Jacek M. editor. edt http://id.loc.gov/vocabulary/relators/edt 69530 Singh, Sri Niwas. editor. edt http://id.loc.gov/vocabulary/relators/edt 69856 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819979530 Printed edition: 9789819979554 Printed edition: 9789819979561 Lecture Notes in Electrical Engineering, 1876-1119 ; 1106 https://doi.org/10.1007/978-981-99-7954-7 ZDB-2-INR ZDB-2-SXIT 57763 57763