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 2829 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.

Presents high-quality research in the field of data engineering and communication technology Features the outcomes of ICDECT 2024, held in Kuala Lumpur, Malaysia Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

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''.

Muhammad Ehsan Rana is a highly accomplished academic professional with an extensive background spanning over 20 years in academic management, lecturing, and quality assurance. He holds a Ph.D. in Software Engineering from Universiti Putra Malaysia and possesses additional qualifications including a PGD in Quality Management, a M.Sc. in Mathematics, and a Master’s degree in Computer Science. Currently serving as an associate professor at the Asia Pacific University of Technology & Innovation (APU) Malaysia, Dr Muhammad Ehsan Rana is responsible for teaching, conducting research, and engaging with industry and professional bodies. Dr Ehsan continues to make significant contributions to the field through his active research pursuits.

Hrudaya Kumar Tripathy is presently working as an associate professor, School of Computer Engineering, KIIT, Deemed to be University, Bhubaneswar, India. He has completed Doctorate in Computer Science from Berhampur University, Master in Computer Science Engineering from Indian Institute of Technology, Guwahati and received Post-doctoral Fellowship from Ministry of Higher Education Malaysia. Dr. Tripathy has 23 years of teaching experience with post-doctorate research experience in the field of Artificial Intelligence, Soft Computing, Machine Learning, Speech Processing, Mobile Robotics, and Data Analytics. He had been a visiting faculty for a couple of years in Asia Pacific University, Kuala Lumpur, Malaysia and the Universiti of Utara Malaysia, Sintok, Malaysia.

Roman Senkerik received his Ph.D. degree in Technical Cybernetics from the Tomas Bata University in Zlin, Czech Republic in 2008. He is currently a full professor at the Tomas Bata University in Zlin, Faculty of Applied Informatics. His research interests include interdisciplinary applications of evolutionary computation, modification and development of evolutionary and swarm based algorithms, computational intelligence, optimization, cyber-security, theory of chaos, emergence and complexity.

Inhalt

When Gourmet Meets TechnologyA Tale of Flavour Science Baked by Machine Learning.- Drawing the landscape: analysis the causes and prevention strategies of the landslide in an emblematic case of convergence of geological, climatic, and anthropic factors.- Unsupervised one class classifier model for fault detection in Wireless Sensor Networks.- Blind Bills: A Technological Approach to Increase Financial Inclusivity for Filipino Citizens.- Develop a Faster Mask Recurrent Convolutional Neural Network and Denoising Autoencoders to Enhance the EEG signals.- An Analysis of the Performance of Binary and Multiclass Models for Early Diagnosis of Skin Cancer.- Enhancing Life Quality for People Who Stutter through an AI-Driven Interactive Website - Assistance for People Who Stutter (AFPWS).- Community Health Management Using Machine Learning Algorithms.- Advancements in Machine Learning for Enhanced X-ray and Gamma Image Analysis: A Review.- Improving Tourism Image Classification with AI-Generated Descriptions: A Comparative Analysis of LLaVA and BLIP Models.- etc.