Proceedings of International Conference on Computational Intelligence
Description
This book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2025) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 27-28 December 2025. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms, machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
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Persons
Prof. Mukesh Saraswat is a Professor and Associate Dean (Innovation) at Jaypee Institute of Information Technology (JIIT), Noida, India. Prof. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 24 years of teaching and research experience. He has guided 05 Ph.D. students and presently guiding 03 Ph.D. students. He has published more than 90 journal and conference papers in image processing, pattern recognition, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi on image analysis. He has been an active member of many organizing committees for various conferences and workshops. He is also a guest editor of the Array, Journal of Swarm Intelligence, SN Computer Science, and Journal of Intelligent Engineering Informatics. He is also an Advisory Board Member of the Journal MethodsX. He is also a series editor of the SCRS Book Series on Computing and Intelligent Systems (CIS). He is an active member of CSI and SCRS Professional Bodies.
Prof. Ritu Tiwari is currently working as a Professor in the Department of Computer Science and Engineering at Professor at S V National Institute of Technology (SVNIT), Surat (NIT, Surat). Before joining SVNIT, Surat, She has worked as Professor at IIIT Pune, She was an Associate Professor in the Department of Information and Communication Technology at ABV- Indian Institute of Information Technology and Management (IIITM) Gwalior. She has 12 years of teaching and research experience. Her field of research includes Robotics, Artificial Intelligence, Soft Computing, and Applications. She has published 05 books and more than 80 research papers in various national and international journals/conferences and is the reviewer for many international journals/conferences. Dr. Tiwari received the Young Scientist Award from the Chhattisgarh Council of Science & Technology in 2006. She also received Gold Medal in her Post Graduation from NIT Raipur.
Dr. Mario F. Pavone is currently working as an Associate Professor in Computer Science at the Department of Mathematics and Computer Science, University of Catania, Italy. Prof. Pavone is focused on the design and development of Metaheuristics applied in several research areas, such as in Combinatorial Optimization; Computational Biology; Network Sciences and Social Networks. Prof. Pavone was visiting professor with a fellowship at the Faculty of Sciences, University of Angers, France in 2016. From August 2017, Prof. Pavone is a member of the IEEE Task Force on the Ethical and Social Implications of Computational Intelligence, for the IEEE Computational Intelligence Society (IEEE CIS). Since February 2015, Prof. Pavone is the Vice-Chair of the Task Force on Interdisciplinary Emergent Technologies for the IEEE Computational Intelligence Society (Emergent Technologies Technical Committee - ETTC).
Dr. Sankita J. Patel is an Associate Professor in the Department of Computer Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, where she has been serving since May 2009. She holds a Ph.D. in Computer Engineering from SVNIT and has over 15 years of teaching and research experience. Her research interests include Information Security and Privacy, Privacy in Data Mining, Security in Wireless Sensor Networks, and Privacy in Online Social Networks. She has published extensively in reputed journals such as Wireless Networks (Springer), Cluster Computing (Springer), Transactions on Emerging Telecommunications Technologies (Wiley), and Internet of Things Journal (Elsevier). Dr. Patel has also contributed to major national projects, including the Information Security Education and Awareness (ISEA) Phase II and Phase III funded by the MeitY, Government of India.
Content
An Ensemble-Based Multilabel Classification of Road Anomalies Using Handcrafted, Deep, and Hybrid Features.- A Hybrid Deep Learning and Machine Learning Approach for Keratoconus Detection Using Fused VGG16 and ConvNeXt Features.- A Hybrid CNN-LSTM Deep Learning Framework for Multi-Class Cyberbullying Detection on Social Media with GUI-Based Real-Time Prediction.- Deep Learning-Based Automated Detection and Multiclass Classification of Brain Tumors in MRI Using YOLOv8 and VGG.- Automation of PVC Pipe Socketing By Using PLC.- A Hybrid Linguistic and TF-IDF Feature-Based Model for Distinguishing AI-Generated and Human-Written Text Using XGBoost with Gauss-Legendre Custom Loss Function.- A Fuzzy Function Point method for Software Cost Estimation by Intertwining Functional Requirements with Cybersecurity and Privacy.- Integrating Variational Quantum Circuits with Advanced Machine Learning Models using Quantum-Classical Hybrid Architectures for Enhanced Breast Cancer Prediction.- AcdaLink: Enhanced Android Project Repository with AI Detection Similarity Matching, and Assistant Support.- Using AI-Enabled HR Practices to Promote Neurodiverse Leadership in India's Technology Industry.- A Hybrid Conversational Framework for Interactive Data Analysis and Time Series Forecasting Using Large Language Models.- A Hybrid EfficientNet-Transformer Framework for Robust Video Forgery Detection.- Enhancing Speech Recognition: A Fusion of Transformers with Convolutional Context.- Microstrip Patch Antenna with Frequency Selective Surface for Wearable Applications.- A Hybrid Graph Attention - LSTM Framework for Intelligent Traffic Signal Optimization.- etc.