Intelligent Computing and Automation
Description
The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6-7, 2024. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
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Persons
Vikrant Bhateja is Associate Professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. He has been Editor-in-Chief of IGI Global-International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal from 2017-22. He is Senior Member of IEEE and Life Member of CSI.
Maitreyee Dey is Lecturer at London Metropolitan University in the Department of Computer Science and Applied Computing. She is also Visiting Fellow at London South Bank University. She completed her Ph.D. (2020) from London, U.K., M. Tech. (2012) and B. Tech. (2009) Degrees from India. Before joining LondonMet she was Post-doctoral Research Fellow in the Department of Electrical and Electronics Engineering, London South Bank University, and jointly holds the post of Data Mining Lead of Neuville Grid Data Management Limited. She worked as Research Fellow for three years and two months (August 2012- October 2015) at Jadavpur University, India. Her academic achievements include receiving various prestigious fellowship; the Access to Innovation (A2i) and Low Carbon London (LCLDN) project funded by ERDF for post-doc scholarship.
Milan Simic holds Ph.D., Masters and Bachelor of Electronics Engineering and Graduate Diploma in Education. He is currently with RMIT University, School of Engineering. At the same time, he is Professor: MB, Faculty of Business and Law, Belgrade, Serbia; Adjunct Professor: Kalinga Institute of Industrial Technology (KIIT), School of Computer Engineering, Bhubaneswar, Odisha, India; Honorary Editor: KES Journal; Editor: International Transactions on Evolutionary and Metaheuristic Algorithms; Former Associate Director: Australia-India Research Centre for Automation Software Engineering, RMIT University. He has comprehensive experience from industry (Honeywell Information Systems), Research institute and Academia, from Europe and Australia. For his innovations and other contributions, he has received prestigious awards and recognitions. He is Member of large number of engineering and science associations.
Content
Chapter 1: The Odyssey of Robots: From Fictional Narratives to Revolutionary Healthcare Solutions.- Chapter 2: Data Acquisition Framework for Drone-Based Research: The Case of Erosion Monitoring in Mauritius.- Chapter 3: 3D Reconstruction of Building Models based on 2D Floorplans using Statistical Analysis.- Chapter 4: Air Quality Data Integration and Visualization in Urban Environment.- Chapter 5: Towards Foundation Models: A simple approach for building large event recognition models [LERM] using federated multi-instance knowledge distillation.- Chapter 6: Link Prediction based on Node Centrality Measure.- Chapter 7: Automatic Table Detection and Tabular Data Extraction from Scanned Documents.- Chapter 8: Broad Study on Automated Fire Fighting Vehicle Powered by Arduino.- Chapter 9: Computer Vision- and Human-Robot Interaction-supported Assembly for Collaborative off-Earth Habitat Construction.- Chapter 10: Enhancing Digital Forensic Analysis for Locating Missing Persons: Multimodal Data Integration. etc.