Intelligent Electrical Systems and Industrial Automation

Proceedings of IESIA 2024
Erscheinungsjahr 2025
ISBN: 978-981-97-6808-0
Verlag: Springer

Buch, Englisch, 412 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 645 g

Reihe: Studies in Autonomic, Data-driven and Industrial Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Mondal, Sanjoy

Piuri, Vincenzo

Tavares, João Manuel R. S.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

Sanjoy Mondal obtained his B.Tech and M.Tech degrees from the National Institute of Technology Durgapur in 2004 and 2006, respectively. In 2013, he completed his Ph.D. at the Indian Institute of Technology Guwahati, specializing in Intelligent Control, Autonomous Systems, Sliding Mode Control, Unmanned Aerial Vehicles, Coordination Control of Multi-Agent Systems, Air Traffic Control, and Power Electronics. Dr. Mondal furthered his research through post-doctoral stints at École de Technologie Supérieure in Montreal and Nanyang Technological University in Singapore. Presently, he serves as an Associate Professor at the Institute of Engineering and Management in Kolkata, India. Dr. Sanjoy Mondal has contributed significantly to his field. His research prowess is evident in his 40+ publications in reputable journals and conferences. His main research areas include intelligent network control, modern transportation system, electrical and power network and new product development.
 

Vincenzo Piuri obtained his Ph.D. from the Polytechnic of Milan, Italy, in 1989 and has been a Full Professor at the University of Milan since 2000. Formerly, he held positions in Polytechnic of Milan, Italy, and at the University of Texas at Austin, USA. Dr. Piuri's research focuses on artificial and computational intelligence, spanning areas such as machine learning, image processing, and industrial applications. With an impressive publication history of over 400 papers in international journals, conference proceedings, books, and book chapters, he holds esteemed titles including Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. Currently serving as the IEEE Region 8 Director (2023-24), Dr. Piuri has held past leadership roles, including IEEE Vice President for Technical Activities (2015). His editorial contributions, including serving as Editor-in-Chief of the IEEE Systems Journal from 2013 to 2019, underscore his dedication to advancing the field of computer engineering.
 

João Manuel R. S. Tavares, graduated from the Universidade do Porto, Portugal in 1992, holds M.Sc. and Ph.D. degrees from the same university. Having achieved his Habilitation in Mechanical Engineering in 2015, he is a Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP) and serves as the Head of DEMec since June 2023. As a senior researcher at INEGI, he has co-edited over 80 books, authored 50 book chapters, and contributed to 650 articles in international and national journals and conferences. João Tavares has a significant editorial role in various journals and is a co-founder of the book series “Lecture Notes in Computational Vision and Biomechanics” by Springer. His extensive involvement in international conferences includes being the co-founder and co-chair of several conferences, emphasizing his influence in computational vision, medical imaging, biomechanics, and biomedical engineering.