Sixth Congress on Intelligent Systems

CIS 2025, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-18143-5
Verlag: Springer

Buch, Englisch, 262 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book is a collection of selected papers presented at the Sixth Congress on Intelligent Systems (CIS 2025), organized by the Institution of Electronics and Telecommunication Engineers (IETE), Delhi Center, under the technical sponsorship of the Soft Computing Research Society, India, during September 6–7, 2025. The book covers high-quality research articles in the fields of soft computing, machine vision, robotics, computational intelligence, artificial intelligence, signal and image processing, data science techniques, and their real-world applications which are some of the recent advancements in real-world technologies.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Sandeep

Shorif Uddin, Mohammad

Rawat, Tarun Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

Preventing Girls from Eve-Teasing Using IOT.- A Hybrid Deep Learning Model For Alzheimer's Diagnosis.- Energy Harvesting Using Piezoelectric Cells and Obstacle Detection Using Arduino Based Ultrasonic Sensor.- Transforming Auto Insurance with Usage-Based Models: A Day-Level, Mileage-Driven Approach.- Responsible governance, CSR, and financial management in the automotive sector: Contributions of auditing, artificial intelligence, and logistics risk management to enhanced ESG compliance.- Remaining Useful Life (RUL) Estimation of Electric Vehicle Batteries Using Neural Controlled Differential Equations and Transformer Models.- Comparative Analysis of LiFi and WiFi for Energy Efficiency, Carbon Reduction, and Green Technology in Sustainable Hospital Environments.- Application of Artificial Intelligence in Composite Mechanics Scalable Property Prediction via Finite Element Method and Supervised Learning.- Multi Layered Neural Network for Context Sensitive Parsing using BERT.- Embedded Intelligent ADAS Car Prototype using Raspberry Pi and YOLOv12n.

Über Autor(innen)

Dr. Sandeep Kumar is a Professor at CHRIST (Deemed to be University), Bangalore, and serves as the Coordinator of the Ph.D. Program and Research at the Kengeri Campus. He completed his postdoctoral research in sentiment analysis at Imam Mohammad ibn Saud Islamic University, Riyadh, Saudi Arabia. Dr. Kumar has authored and edited 22 books and published over 100 research papers in reputed international journals and conferences. He has successfully guided 7 Ph.D. scholars. He is an Associate Editor of Springer’s Human-Centric Computing and Information Sciences (HCIS) journal and serves as the General Chair of several international conferences, including CIS, ICCCT, ICSISCET, and IEEE InC4. He is a life member of the Soft Computing Research Society, a Senior Member of IEEE, and a member of ACM.
Prof. Mohammad Shorif Uddin is Professor in the Department of Computer Science and Engineering at Jahangirnagar University, Bangladesh. He earned his Ph.D. from the Kyoto Institute of Technology in Japan and has completed multiple international postdoctoral research assignments at leading institutions in Japan, Singapore, Germany, and China. His research interests include Computer Vision, Agro-Biomedical Imaging, Image Security, Artificial Intelligence, Machine Learning, IoT, and Smart Technologies. Prof. Uddin has published over 250 research papers, which have garnered more than 6,500 citations, holds two patents, and has edited several books with Springer and Elsevier. He is a Senior Member of IEEE, an Associate Editor of IEEE Access, and a frequent keynote speaker and conference chair.
Dr. Tarun Kumar Rawat is a Professor in the Department of Electronics and Communication Engineering at Netaji Subhas University of Technology (NSUT), New Delhi. He has supervised 10 Ph.D. theses and 40 M.Tech. theses. His research focuses on stochastic signal processing, image processing, quantum signal processing, digital and microwave filter design, fractional-order systems, and FPGA-based DSP implementations for next-generation wireless systems. Dr. Rawat has published over 50 journal articles and 35 conference papers and has authored two widely used textbooks, Signals and Systems and Digital Signal Processing, published by Oxford University Press.