Information System Design: AI and ML Applications
Description
This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from January 3-4, 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.
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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 holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 20 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. 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, four papers have received "Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer Nature as a corresponding/co-editor/author on date.
Soly Mathew Biju CEng FBCS CITP FHEA is an associate professor and the head of Global Health and Wellbeing Cluster at the Faculty of Engineering and Information Sciences, University of Wollongong in Dubai. Dr. Biju has been in the field of the field of teaching, training, network administration, and software development since 1999. Prior to joining UOWD, she worked for various universities including University of Wales, Robert Kennedy College, and Champlain College. She also conducts executive IBM training program in Security Intelligence engineer for professionals. She also founded the FEIS technical workshop series and is editor of various Scopus indexed book and has a number of patents. She is the university representative at Red Hat Academy and Education Liaison Officer at BCS Middle East Chapter.
Siba K. Udgata is a Professor in Computer and Information Sciences at University of Hyderabad, India. He is serving as a professor-in-charge, Center for Modeling, Simulation, and Design (CMSD), which is a high-performance computing center. He is a fellow of Telangana Academy of Sciences. He was United Nations Fellow. He is a recipient of Shared University Research (SUR) Award grant from IBM Inc for his research in sensor network based rescue management system. His research focus is on development of intelligent sensors, Internet of Things, Wi-Fi Sensing for assistive healthcare, and development of Intelligent algorithms for different applications, etc. Prof. Udgata has published around 200 research papers in reputed international journals and conference proceedings and authored books and edited volumes published by Springer Nature.
Content
Enhancing Health Insurance Risk Management with Ensemble Machine Learning Models: A Comparative Study of Predictive Accuracy.- Automatic Arabic Inquiry Classification Using Machine Learning Model: A Case Study of the Directorate of Housing Sharjah.- Local and Global Feature Extraction Using Convolutional Autoencoders and Convolution Neural Networks for Diagnosing Milling Machine Faults.- Milling Machine Defect Identification Using Novel Defect-sensitive Scalograms and CNN.- AI-Driven Bankruptcy Prediction: A Comparative Study of Machine Learning and Deep Learning Techniques on SME Financial Data.- Unleashing the Power of GPT-3: Revolutionary Applications in Natural Language Processing.- Comparative Analysis of U-Net Variants for Semantic Segmentation of Shorelines Using High-Resolution UAV Imagery: A Case Study of Mauritius.- Generative AI Influence on Student Learning Outcomes: The Context of Lebanese University Students.- Ethical Implications of Black Box AI Models in High-Stakes Applications.- Generative AI-Driven or AI-Assisted Software Code Generation and the Decline of Community Knowledge Sharing: Challenges and Future Prospects.- AI-Driven Transfer Learning & LSTM Framework for Pandemic Forecasting.- Automating University Course Scheduling Using Genetic Algorithm.- Assessing the Efficacy of VGG16 with CNN in Non-Clinical ASD Prediction.
