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Intelligent electrical systems and industrial automationproceedings of IESIA 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent electrical systems and industrial automationedited by Sanjoy Mondal, Vincenzo Piuri, João Manuel R. S. Tavares.
其他題名:	proceedings of IESIA 2024 /
其他作者:	Mondal, Sanjoy.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xiv, 412 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Internet of thingsCongresses.
電子資源:	https://doi.org/10.1007/978-981-97-6806-6
ISBN:	9789819768066$q(electronic bk.)

Intelligent electrical systems and industrial automationproceedings of IESIA 2024 /
Intelligent electrical systems and industrial automationproceedings of IESIA 2024 /[electronic resource] :edited by Sanjoy Mondal, Vincenzo Piuri, João Manuel R. S. Tavares. - Singapore :Springer Nature Singapore :2024. - xiv, 412 p. :ill., digital ;24 cm. - Studies in autonomic, data-driven and industrial computing,2730-6445. - Studies in autonomic, data-driven and industrial computing..

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.

ISBN: 9789819768066$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6806-6doiSubjects--Topical Terms:

696440
Internet of things
--Congresses.

LC Class. No.: TK5105.8857 / .I58 2024

Dewey Class. No.: 004.678

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520 $a 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.
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