Read more
This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2024). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
List of contents
Diffusion Generative Models for MRI Reconstruction.- Low Light Weapon Detection Using Yolov8.- TWDTW based LULC and Crop type classification using Sentinel -2 imagery.- Enhancing Glaucoma Detection with YOLOv8: A Promising Approach for Early Diagnosis.- Meteorological Influences on Dengue Dynamics: Forecasting Strategies for Public Health Planning.
About the author
Nabendu Chaki is a professor in the Department of Computer Science and Engineering, University of Calcutta, Kolkata, India. He is the editor-in-chief of the Springer Nature book series on Services and Business Process Reengineering. Besides editing about 40 conference proceedings with Springer, Dr. Chaki has authored eight texts and research books with CRC Press, Springer Nature, etc. He has published more than 200 Scopus-Indexed research articles in journals and international conferences. Prof. Chaki has served as a visiting professor in different places including US Naval Postgraduate School, California, and in different universities in Italy and Poland. He is the founder chair of ACM Professional Chapter in Kolkata and served in that capacity for three years since January 2014. He has been active during 2009–2015 towards developing several international standards in Software Engineering and Service Science as a global (GD) member for ISO-IEC.
Nagaraju Devarakonda received his B.Tech. from Sri Venkateswara University, M.Tech. from Jawaharlal Nehru University (JNU), New Delhi, and Ph.D. from Jawaharlal Nehru Technological University, Hyderabad. He has published over 90 research papers in international conferences and journals. He is the co-editor of Proceedings of ICCIDE 2017, 2018, 2020, and 2021. The proceedings were published in Lecture Notes on Data Engineering and Communication Technologies of SPRINGER. He published papers in ICCI*CC 2017 at Oxford University, UK, and ICCI*CC 2018 at the University of California, Berkeley, USA. He is currently working as an associate professor in the School of Computer Science and Engineering at VIT-AP University and has 18 years of experience in teaching. His research areas are data mining, soft computing, machine learning, and pattern recognition. He has supervised 25 M.Tech. students, guided 4 Ph.Ds, and currently guiding 9 Ph.Ds.
Agostino Cortesi, Ph.D., is a full professor of computer science at Ca' Foscari University, Venice, Italy. He has extensive experience in the area of static analysis and software verification techniques. His main research interests concern programming languages theory, software engineering, and static analysis techniques, with particular emphasis on security applications. He coordinated the H2020 Families_Share project and the MAE Italy-India project "Formal Specification for Secured Software System”. He has been the adviser of several doctoral and postdoctoral students from Italy and abroad (India, Cuba) and has published more than 150 papers in high-level international journals and proceedings of international conferences.
Summary
This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2024). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
