04946nam a22005655i 4500 978-981-97-6806-6 DE-He213 20251030114552.0 cr nn 008mamaa 241129s2024 si | s |||| 0|eng d 9789819768066 978-981-97-6806-6 10.1007/978-981-97-6806-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Intelligent Electrical Systems and Industrial Automation [electronic resource] : Proceedings of IESIA 2024 / edited by Sanjoy Mondal, Vincenzo Piuri, João Manuel R. S. Tavares. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 412 p. 174 illus., 124 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Autonomic, Data-driven and Industrial Computing, 2730-6445 IoT based Portable Solar Suitcase for EV Battery Charging Application -- Development of Low Cost and Automation of Various Classroom Accessories -- Segmentation of plant leaf diseases using a ResNet based algorithm -- Rehabilitation System Using Virtual Gaming For Spinal Cord Injury (SCI) Patients To Activate Sensorimotor Areas -- Exploring the Synergy of Machine Learning Algorithms in Wireless Sensor Networks: A Comprehensive Survey -- The application of various energy Storage Technologies in Modern Smart Grid with comparative study -- Artificial Intelligence-Based Virtual Dressing Room In the Modern Fashion Industry -- Design and Development of Compliant Robotic Gripper by 3D Printing Technology -- AutoCleanAI: A Deep Learning-Enabled Autonomous Surface Cleaning Bot Integrated with IoT Technology -- Leveraging Artificial Intelligence for Enhanced Stock Market Trading Strategy -- Design of a Context-Aware Healthcare Business Process Model Offering an Extension Strategy in BPMN -- Smart Charging Scheduling Management for Suitable Al-location of EV under uncertain Spatiotemporal Environment -- Optimizing Wireless Data Transfer with Neural Network-Based Dynamic Channel Allocation -- Tourist Delight in Smart City: Unveiling the Impact of Smart Tourism Technologies on Satisfaction -- Intelligent Bug Management: Hyper-Tuned Supervised Classi cation for Automatic Bug Report Prioritization -- Mobile Choice System -- A Novel control technique for Performance Improvement of a Ship -- Development of an AI-Integrated Health Cloud for Widespread Musculoskeletal Pain: An Overview -- Efficient Deep Learning Unleashed: the EDUS-Net Revolution in Medical Plant Species Identification using Deep Learning -- Pelios - Emotion Detection using Machine Learning in Real Time -- The Utilization of Blockchain Technology in the Healthcare System -- Implementing Internet of Things (IoT) Solutions for Smart Homes -- VR Arena:Virtual Reality-based Entertainment for Society. This book features high-quality research papers presented at the International Conference on Intelligent Electrical Systems & Industrial Automation (IESIA 2024), organized by Department of Electrical Engineering, Electrical and Electronics Engineering, Institute of Engineering & Management, Kolkata, India during April 5 – 7, 2024. The volume presents diverse range of topics, including smart sensors, automation control algorithms, energy-efficient solutions, and real-time data analytics. Computational intelligence. 64052 Internet of things. 58845 Telecommunication. Computational Intelligence. 64052 Internet of Things. 58845 Communications Engineering, Networks. Mondal, Sanjoy. editor. (orcid)0000-0003-1011-7627 https://orcid.org/0000-0003-1011-7627 edt http://id.loc.gov/vocabulary/relators/edt 88254 Piuri, Vincenzo. editor. edt http://id.loc.gov/vocabulary/relators/edt 74447 Tavares, João Manuel R. S. editor. (orcid)0000-0001-7603-6526 https://orcid.org/0000-0001-7603-6526 edt http://id.loc.gov/vocabulary/relators/edt 68911 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819768059 Printed edition: 9789819768073 Printed edition: 9789819768080 Studies in Autonomic, Data-driven and Industrial Computing, 2730-6445 68915 https://doi.org/10.1007/978-981-97-6806-6 ZDB-2-INR ZDB-2-SXIT 65316 65316