Innovations in Computational Intelligence and Computer Vision
Description
This book presents a selection of high-quality research papers accepted for presentation at the Fifth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2025). The conference was jointly organized by the Department of IoT and Intelligent Systems, Manipal University Jaipur, India, in collaboration with CNR-Nanotec at the University of Calabria, Italy, and Hansraj College, University of Delhi, India, and was held from June 04 to 06, 2025. ICICV 2025 was conducted in hybrid mode, with in-person sessions hosted at CNR-Nanotec, University of Calabria, Italy, and virtual sessions facilitated by Manipal University Jaipur and Hansraj College, University of Delhi.
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Dr. Satyabrata Roy is an associate professor in the Department of Computer Science and Engineering, School of Computer Science and Engineering at Manipal University Jaipur, Rajasthan, India. He received his Ph.D. and M.Tech. (with honors) degrees in computer science and engineering in 2020 and 2014, respectively, and B.Tech. in computer science and engineering in 2009. His research interests include cryptography, internet of things, cellular automata, computer networks, computational intelligence, machine learning, and formal languages. He is an enthusiastic and motivating technocrat with more than 12 years of research and academic experience at different reputed institutes. He has published many research articles in top quality international journals, national/international conferences of repute. He is a senior member of IEEE, a fellow of IETE, and a professional member of ACM.
Dr. Geeta Rani is working as an associate professor and the head of the Department of IoT and Intelligent Systems at Manipal University Jaipur. She has teaching experience of more than 16 years at various organizations of repute such as NIT Delhi, NSIT Delhi, GD Goenka University Gurgaon, and Manipal University Jaipur. Dr. Geeta received her Ph.D. degree in computer engineering from NSIT, University of Delhi, in 2017. She is the chief editor of two books and has published more than 60 research articles in SCI and SCOPUS indexed journals of repute. She has more than 18 patents and 20 copyrights on software applications and inventions in artificial intelligence. Dr. Geeta is a recipient of the International Education Excellence Award 2021 for teaching and research in artificial intelligence. Her research interests include applications of artificial intelligence, image processing and data analytics in healthcare, agriculture, and renewable energy.
Nilanjan Dey (a senior member, IEEE) received the B.Tech. and M.Tech. in information technology from West Bengal Board of Technical University and the Ph.D. in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015. Currently, he is a professor with Techno International New Town, Kolkata, and a visiting fellow of the University of Reading, UK. He is the editor-in-chief of the International Journal of Ambient Computing and Intelligence, an associate editor of IEEE Transactions on Technology and Society, and a series co-editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research (Springer Nature) and Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is also on the Editorial Board of IEEE Data Descriptions. He is a fellow of IETE and member of IE, ISOC, etc.
Ester Zumpano is an associate professor of computer engineering at the Department of Computer Engineering, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Italy. She received a Ph.D. degree in computer science from the University of Calabria in 2003. Her research areas include health information systems, data integration, logic programming, artificial Intelligence, and database management. She has many international collaborations and is a member of the Scientific Board of the Ph.D. Course in Information and Communication Technologies, University of Calabria. She is a founding member of the ITACA S.r.l. spin-off and Bigtech spin-off. She is a member of the Steering Committee of the ADBIS Conference. She is a member of the Editorial Board of the journals "Intelligent Information Systems" and "Big Data and Cognitive Computing". The results of her research have been published in more than 170 articles in international journals and proceedings of national and international conferences.
Content
Neuro-Symbolic AI and Quantum-Inspired Adaptive System for Real-Time Pain Management Using Federated Biofeedback-Driven AR/VR Therapy.- Enhanced Visual-NLP Systems Using Knowledge Graphs, Meta-Learning, and Adaptive Attention Networks.- Lightweight Architecture for Fruit Quality Estimation in the Infrared Domain.- Development of an automated edge-detection tool for robust cell biology assays.- Machine Learning-based Urban Nightime Light Intensity Analysis in Sri Lanka Using VIIRS Images.- AI Meets Agriculture: Cultivating a Sustainable Future.-Decision Support System for Neonatal Jaundice Detection Leveraging YOLO Object Detection Model.- Real-Time Posture Assessment for Yoga using Computer Vision.- Enhanced Brain Tumor Detection Using CNN-Based Image Classification: A Deep Learning Approach.- Brand Perception Improvement using Customer Feedback Analysis with NLP Techniques.- Utilizing Data Augmentation to Enhance Handwritten Kaithi Character Recognition.- Edge Vision Agents: Democratizing Computer Vision with LLMs.- AI-Driven Breast Cancer Detection: Advancements in Transfer Learning and Hybrid CNN Models.- APP-Net: An Attention Pyramid Pooling-Based Deep Learning Framework for Nail Disease Classification Using Normal Finger Photos.- ADMET Properties Prediction Using Advanced Graph Neural Networks.- Real- Time Motion Tracking and Exercise Pose Correction using Media Pipe.- Image Encryption using Elementary Cellular Automata Rule Vectors: A Secure Approach to Image Transmission for IoT Applications.- Crime Prediction and Forecasting in India using Hybrid Machine Learning and Deep Learning Techniques.- CycleGAN-Based Adversarial Learning for Enhanced Steganographic Image Detection.- Vocal2Instrument: Instrumental Sound Synthesis from Vocals using a Hybrid Digital Signal Processing-Convolutional Neural Network Architecture.- Next-Generation Glacier Monitoring: Leveraging Cloud Computing for Climate Insights.- Deep Fake News Detection: A Comparative Analysis.- Breast Carcinoma Diagnosis using Parametric Optimization with Soft Computing Techniques.- Towards Explainable Ethnicity Altered Synthetic Images.- An Efficient Image Encryption Method Using the Combination of Logistic Map and Fibonacci Q Matrix.- Advancing Early Detection of Suicidal Thoughts through Multi-Modal Analysis.- Performance Analysis of Cosine Shared Link Method on Small and Medium Sized Networks.- Critical Analysis of Synchronization Detection in Stereo Frame Processing.- Investigating Oversampling for Improved Text-Based Depression Detection.- Dynamic Density-Based Clustering for IoT Botnet Attack Detection Using DD-OPTICS.