Advances in Data-driven Computing and Intelligent Systems

Selected Papers from ADCIS 2025, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-35797-7
Verlag: Springer

Buch, Englisch, 286 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2025) held at Christ University, Kengeri Campus, Bengaluru, India, during September 15–16, 2025. It includes state-of-the-art research work in cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Sandeep

Mary Anita, E. A.

Coello, Carlos A. Coello

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Chapter 1: Deepfake Detection Through Computer Vision and the Lens of AI: A Comprehensive Survey.- Chapter 2: A Comparative Review of Deep Learning Techniques for Epileptic Seizure Detection Using EEG Signals.- Chapter 3: Evaluation of Fault Localization techniques using Design by Contract.- Chapter 4: Fake News Detection by XGBoost Classifier Optimized by Modified Firefly Algorithm.- Chapter 5: Investigations On Spam Email Classification Using Machine Learning and Deep Learning Algorithms.- Chapter 6: Enhanced Malware Detection: A Hybrid Machine Learning Model for Classifying Portable Executable Files.- Chapter 7: Fusing NMR Metabolomics with Machine Learning for Improved Embryo Implantation Outcomes.- Chapter 8: Benchmarking Tree Data Structures for CPU and Cache Efficiency.- Chapter 9: AI in Education: A Review of Transformative Applications and Ethical Considerations.- Chapter 10: Intelligent Email Response System using Machine Learning and Large Language Models.- Chapter 11: Multimodal Stress Detection in Real-Time: A Chatbot Approach using Text and Video Analysis.- Chapter 12: Secure Energy-Aware Routing and Aggregation for IoT Surveillance Drones using E3-TRA Framework.- Chapter 13: Hybrid Feature Engineered Meta heuristic Optimized Approach for Dyslexia Prediction Using Eye-Tracking Data: A Machine Learning Perspective.- Chapter 14: A Hybrid Explainable AI Framework for Real-Time Anomaly Detection in Cyber-Physical Smart Infrastructure.- Chapter 15: An Efficient Optimization Method for Forecasting Performance of Students Academics.- Chapter 16: SalienNeXt: A CBAM-Enhanced ConvNeXt Framework for Driver Drowsiness Detection.- Chapter 17: Graph-Theoretic Transformations on Grid Graphs: Superimposition and Truncation for Engineering Applications.- Chapter 18: Enhanced Image Authenticity Verification using Dual-Stage Feature Extraction and Color Analysis.- Chapter 19: Machine Learning in Ovarian Disease Diagnosis: A Systematic Review.

Über Autor(innen)

Dr. Sandeep Kumar is currently a professor at CHRIST (Deemed to be University), Bangalore. He recently completed his post-doctoral research at Imam Mohammad ibn Saud Islamic University, Riyadh, Saudi Arabia, in sentiment analysis. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published more than hundred research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited twelve books in computer science. Also, he has been serving as General Chair of the Congress on Intelligent Systems (CIS), the International Conference on Communication and Computational Technologies (ICCCT), International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET) and IEEE International Conference on Contemporary Computing and Communications (InC4). His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.

Dr E. A. Mary Anita holds a B.E and M.E from the Government College of Engineering, Tirunelveli, India, and a Ph.D. in Information and Communication from Anna University, Chennai. She is presently Professor and Associate Dean, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore. She is a passionate researcher and has served in various teaching and administrative capacities over three decades. She has published over 90 research papers in International and national journals and conferences. She has completed one research project for CVRDE, DRDO, and Chennai and has undertaken various consultancy projects. She has guided 7 PhD scholars and is currently guiding eight scholars. She has published three books and has two patents to her credit. She has received grants worth 75 lakhs from various funding agencies for research and organizing events. Her main research interests are in wireless networks, security, and privacy. She is a Life member of the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), Senior IEEE Member, IAENG, and ACM. She is a peer reviewer for refereed International Journals. Her biography has been included in the 2014 edition of Who's Who in the World, USA.

Prof. Carlos A. Coello Coello (Fellow, IEEE) received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is currently a Professor with Distinction (CINVESTAV-3F Researcher), Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico. He has authored and co-authored over 500 technical papers and book chapters. He has also co-authored the book Evolutionary Algorithms for Solving Multiobjective Problems (2nd ed., Springer, 2007) and has edited 3 more books with publishers such as World Scientific and Springer. His publications currently report over 78000 citations in Google Scholar (his H-index is 106). His major research interests are evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms.