Intelligent Data Engineering and Analytics
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.
Preeti Patel has been educated in the United Kingdom and holds a B.Sc. in Computer Science (1986), a M.Sc. in Database and Information Systems (1992) and a Ph.D. in Computing (2017) from UK universities. She is currently Head of Computer Science and Applied Computing at London Metropolitan University. Prior to entering the Higher Education sector, she worked within the IT industry for organisations including British Telecom, The Wellcome Foundation and General Electric Information Services. She has a keen interest in international education and has been previously involved with the NCC global programmes for a number of years and continues to work with international partners. She has been External Advisor and External Examiner at various UK universities, and regularly works with the UK QAA.
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: Benchmarking One Class Classification in Banking, Insurance, and Cyber Security.- Chapter 2: Image Texture Data Blocks Produced With 2D-Cellular Automata Linear Rules.- Chapter 3: Optimizing Classification Performance in Imbalanced Datasets.- Chapter 4: Benefits and Limitations of using Data-Driven Approach to Develop Inclusivity Networks for Young Disabled People: A case study of Assemble by the National Youth Theatre.- Chapter 5: On Classification, Evaluation and Utilization of MCDM Based Feature Selection Techniques.- Chapter 6: Investigating Fine-tuning of Large Language Models for Text Summarisation.- Chapter 7: Forecasting Urban Growth: Applying Prophet Model to Landsat NDBI Data for Sustainable City Development.- Chapter 8: Prediction of Health Hazards caused due to Excess Use of steroids Consumption on Liver, Heart and Lung of Hu- man Body".- Chapter 9: Integrating an Information System Successful with Task Technology Fit: SME's AIS Implementation.- Chapter 10: Tracking Hospital-Acquired Infections (HAIs). etc.
