Proceedings of International Conference on Computational Intelligence: ICCI 2024

Mukesh Saraswat · Ritu Tiwari · Mario Pavone · Mukesh Zaveri

2025년 8월 · Springer Nature

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eBook 정보

This book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2024) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 24–26 December 2024. 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.

저자 정보

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 20 years of teaching and research experience. He has guided 04 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 80 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 and one project funded by CRS, RTU, Kota. He has been an active member of many organizing committees for various conferences and workshops.

Prof. Ritu Tiwari is currently working as a professor in the Department of Computer Science and Engineering at S V National Institute of Technology (SVNIT), Surat (NIT, Surat). Before joining SVNIT, Surat, she has worked as a 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. 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 a 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).

Prof. Mukesh A. Zaveri is a professor at SVNIT, Surat specializing in Computer Vision, Image Processing, Audio-Speech Signal Processing, Machine Learning, Wireless Sensor Networks, and the Internet of Things at SVNIT, Surat, India. It outlines his extensive academic qualifications, including a Ph.D. from IIT Bombay, and his notable professional experience in various roles at SVNIT. Additionally, the document details his research work focused on advanced algorithms for target detection and tracking in infrared video sequences, involving complex data association methods and simulations to evaluate algorithm performance. His research interests include C on computer vision.