This book includes selected papers presented at the 5th International Conference on Data Engineering and Communication Technology (ICDECT 2024), held at Asia Pacific University of Technology and Innovation (APU, Kuala Lumpur, Malaysia, during 28–29 September 2024. It features advanced, multidisciplinary research towards the design of smart computing, information systems and electronic systems. It also focuses on various innovation paradigms in system knowledge, intelligence and sustainability which can be applied to provide viable solutions to diverse problems related to society, the environment and industry.
Emerging Smart Technological Applications in the Food Industry.- Brain
Tumor Detection, Segmentation, and Classification Using Computer Vision
Techniques.- How Smart Home System Support Sustainable Development Goals.-
MiTM Attack Classification in IoT Network with Machine Learning Algorithm.-
Record Linkage as A Pre-processing Tool in Big Data Applications Using
Machine Learning.- A Hybrid Approach: Combining Deep Learning and Large
Language Model for General Workplace Activity Recognition.- Enhancing Pali
Manuscript Interpretation with Artificial Neural Network Techniques.- Towards
Metaverse Readiness: Analyzing Students' Challenges with Mobile Library
Applications and Their Perceptions of Augmented Reality Implementation in the
University Library.- Durian Fruit Diseases Detection using Convolutional
Neural Networks (CNN) and Pre-trained Models.- A Cost-Effective Smart
Approach to Promoting Sustainable Waste Disposal Practices.- etc.
Vikrant Bhateja is an 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 the 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 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, five papers have received Best Paper Award''.
Vazeerudeen Abdul Hameed is an accomplished academician with a wealth of experience spanning over a decade, primarily focusing on teaching and research. Having earned his Ph.D. in Computer Science from Universiti Teknologi Malaysia, he has demonstrated a deep understanding and expertise in his field. Since 2009, he has been an integral part of the Asia Pacific University of Technology and Innovation (APU) in Malaysia, where he has contributed significantly to the academic community. His research interests encompass cutting-edge areas such as Machine Learning, Deep Learning and Computer Vision, reflecting his dedication to exploring and advancing the frontiers of these fields.
Siba K. Udgata is a professor in the School of Computer and Information Sciences, University of Hyderabad (Institute of Eminence). He served Centre for Modelling, Simulation and Design (CMSD) as a director between year 2012 and 2016. He has a Masters and Ph.D. in Computer Science. He was a United Nations fellow and worked in the United Nations University/International Institute for Software Technology (UNU/IIST), Macau as research fellow in the year 2001. He is a recipient of IBM SUR (Shared University Research) award grant for the project Mobile Sensor Network based Disaster Management System with special emphasis on Rescue Management System.
Jinshan Tang is a professor of Health Informatics in the Department of Health Administration and Policy. Before joining George Mason University, Dr. Tang was a full professor in the College of Computing at Michigan Technological University and a founding director of the Joint Center for Biocomputing and Digital Health. Dr. Tangs research covers broad areas related to image processing and artificial intelligence. His specific research interests include biomedical image analysis, biomedical imaging, artificial intelligence in medicine (e.g., computer-aided cancer detection, AI for COVID-19 detection).
