Artificial Intelligence: Theory and Applications
Description
This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2025), held during 1-2 August 2025 in Bengaluru, India. The book is divided into three volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
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Persons
Dr. Antorweep Chakravorty is an Associate Professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains, Big Data, Large Scale Machine Learning, and Data Privacy. He has an interest in real-world problems, especially development of privacy enabled data-driven services in smart energy, healthcare, and smart city domains. Antorweep completed his PhD. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching and supervision.
Dr. Hussain is working at University of Canberra as Associate Professor of Biomedical Robotics. Prior to that he has worked as lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his PhD in Mechanical Engineering from the University of Auckland, New Zealand in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, non-linear dynamics and control of robotic systems, human-robot interaction, biomechanical modelling, engineering education and micro electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.
Dr. Rajani Kumari is currently an Assistant Professor at IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, India. Previously she was an assistant professor at IIIM, Jaipur and St. Xavier's College Jaipur, CHRIST University. She received the PhD degree in computer science in 2015, the MCA and BCA from University of Rajasthan in 2010 and 2006 respectively. She has published more than forty research papers in various international journals/conferences and participated in many national and international conferences and workshops. She edited some special issue in Taylor & Francis and Inderscience journals including Journal of Information and Optimization Sciences (JIOS) and Int. J. of Intelligent Information and Database Systems (IJIIDS). Her research interests include Nature Inspired Algorithms, Swarm Intelligence, Soft Computing, and Computational Intelligence.
Content
A Deep Learning Framework for Post-Disaster Flood Mapping using Sentinel-2 Image.- A Review Study on the Discovery & Development of Medicine using the Machine Learning.- A Comparative Evaluation of Standalone LLMs and Retrieval-Augmented Generation Models using Hypothetical Gemini Systems.- Early Detection of Neurological Disorders through Functional Brain Network Analysis using Spatio-Temporal Graph Neural Networks.- Emotion Recognition using EEG Signals: Machine Learning-Based Analysis on the MAHNOB-HCI Dataset.- Automated Cinematic Video Generation from Voice Recording using Whisper, Stable Diffusion XL and SpaCy.- Comparative Analysis of Performance on Deep Neural Networks using GAN for Food Recognition and Nutritional Value Estimation.- Optimizing XGBoost for Fake News Detection using Word2Vec and Modified Metaheuristics.- Optimizing WSN Node Localization Accuracy via a Novel Hybrid Nature-Inspired Algorithm.- Transformer-based Models for Head and Neck Cancer Detection Across Imaging Modalities.- Unveiling the Black Box: Enhancing Acceptance and Trust in ECG Image-Based Cardiac Diagnosis, Employing Explainable AI Techniques.- Efficient On-Device Detection of Cereal Crop Diseases using MobileNetV2.- Prediction of Parts-of-Speech (POS) Tags using HMM Model in 4 different Languages.- "Fix My Way" using YOLOv8 and Machine Learning.- A Novel Approach for Neurodegenerative Disorder Detection using Custom CNN Architecture.