Web Intelligence and Human-Machine Interaction

Proceedings of ICWIHI 2025
Erscheinungsjahr 2025
ISBN: 978-981-968562-2
Verlag: Springer

Buch, Englisch, 989 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Advances in Intelligent Systems and Computing

This book gathers selected research papers presented at International Conference on Web Intelligence and Human-Machine Interaction (ICWIHI 2025), held during 8–9 April 2025 in Salem, Tamil Nadu, India. This book presents a collection of state-of-the-art research work involving cutting-edge technologies in the field of web intelligence and human-machine interaction. It presents original papers that explore the integration of intelligent web technologies with human-cantered design, focusing on areas such as semantic web, web data mining, user interface design, natural language processing, and the development of adaptive, context-aware systems.

Zielgruppe

Research

Autoren/Hrsg.

Vasanthi, R

Palaniappan, Ramaswamy

Radhakrishnan, Kanthavel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

Chapter 1: Voting-Based Models for Detecting Anomalous Credit Card Transaction and Usage Pattern Fraud.- Chapter 2: Voting-Based Models For Estimation of Obesity Levels in Individuals.- Chapter3 : A MULTIMODAL MACHINE LEARNING APPROACH FOR PREDICTING ASD IN FXS.- Chapter 4: Optimizing Browsing Security: AdGuard’s Influence on Privacy and User Experience Across Devices.- Chapter 5: A FOOD DELIVERY SYSTEM: USING MERN STACK AND MACHINE LEARNING.- Chapter 6: Enhancing Weather Prediction in Precision Agriculture Through Deep Learning-Based Image Recognition.- Chapter 7: Skintellet: AI-Powered Facial Analysis for Acne Detection, Oiliness Assessment, Personalized Recommendations, and Dermatologist Booking.- Chapter 8: Text Summarization using Dual Encoder Architecture.- Chapter 9: Adaptive ML Framework for SaaS Traffic Classification in Cloud Ecosystem.- Chapter 10: Neural Network Modeling of Crop Yields Cultivated in Water Scarcity Conditions.-

Über Autor(innen)

Dr. R. Vasanthi is an academic and researcher with over 22 years of teaching experience and one year of industrial experience. Currently serving as the Professor and Head of the Department of Computer Science and Engineering at R P Sarathy Institute of Technology, Salem, she has made significant contributions to the fields of Artificial Intelligence, Machine Learning, and Cloud Computing. Dr. Vasanthi has received numerous awards, including the Uttama Adyapika Award by Bharat Education Excellence Awards in 2022 and the Best Women Engineer Award by the Institution of Engineers (India) in 2018. Her research is widely recognized, with numerous publications in international journals and conferences, as well as several patents. She has authored multiple books on programming and software engineering, further improving her expertise. Dr. Vasanthi is also an active editorial board member for various prestigious journals and has guided numerous undergraduate and postgraduate projects, contributing significantly to academic development.

Dr. Ramaswamy Palaniappan is currently a Reader in the School of Computing, University of Kent and Heads the Artificial Intelligence and Data Analytics (AIDA) Research Group. His current research interests include signal processing and machine learning for electrophysiological applications. To date, he has written two text books in engineering and published over 200 papers (with over 5000 citations) in peer-reviewed journals, book chapters, and conference proceedings. He has been consistently ranked in the top 2% of AI researchers in the world.

Prof. Dr. Kanthavel R, currently working as a Professor and Chair of Computer Engineering in the School of Electrical and Communication Engineering, PNG University of Technology, Papua New Guinea specialized in Computer Engineering and currently having 27 years of teaching and 21 years of research experience. He has published 10 technical books, 25 book chapters, 87 Scopus-indexed journals, 32 SCI-indexed journals, and guided and supervised 52 PG students (M.E/M.Tech) and 11 Ph.D. scholars. He published more than 100 papers at national and international reputed conferences. He held various academic and administrative positions like Professor, Head of the Department, Research Dean, Vice Principal, Principal (Head of the Institution) and Dean of School of Computing which all provide evidence to prove his capability for this post. He published technical books for engineering students in Computer Programming, Software Architecture, Multi-Core Architecture, and Embedded and Real-time Systems. As an academic, his field of interest’s are Computer Engineering, computer networking and security , high-performance communication networks,  Internet of Things, Cognitive Radio, Data Science, Machine Learning, Artificial Intelligence, HCI, Computer Graphics, Big Data and Cloud Computing.