Industrial Applications, Volume 6 Abraham, Ajith. editor. edt http://id.loc.gov/vocabulary/relators/edt Bajaj, Anu. editor. edt http://id.loc.gov/vocabulary/relators/edt Hanne, Thomas. editor. edt http://id.loc.gov/vocabulary/relators/edt Siarry, Patrick. editor. edt http://id.loc.gov/vocabulary/relators/edt Ma, Kun. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XVII, 509 p. 194 illus., 152 illus. in color. online resource. This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Industrial Applications from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all industrial specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and industrial applications. Optimizing Energy Consumption in Android Mobile Devices Based on User Recommendations -- Identification and Analysis of Barriers for In-Service Pressure Vessel and Piping Inspection using DEMATEL Approach -- Micro Expression Recognition Contemporary Challenges Options and Analysis -- Ecology based Optimization of Traffic Signal Timing on Superstreet -- IntelliFarmAssist A Novel Machine Learning Integrated Genetic Algorithm based Optimal Crop Recommendation System -- Real Time ETL for multimedia sources A systematic literature review -- Wastewater Monitoring and Control Using Cloud Based IOT System -- Multimodal Emotion Classification Implications for Cognitive Science and Human Behaviour -- Uniting Optimization and Deep Learning for Complex Problem Solving A Comprehensive Review. edited by Ajith Abraham, Anu Bajaj, Thomas Hanne, Patrick Siarry, Kun Ma. Computational intelligence Artificial intelligence Computational Intelligence Artificial Intelligence Q342 9783031648502 https://doi.org/10.1007/978-3-031-64850-2 https://doi.org/10.1007/978-3-031-64850-2 240801 20251030112704.0 978-3-031-64850-2