Proceedings of International Conference on Information Technology and Applications

ICITA 2024

AvAbrar Ullah,Sajid Anwar

Häftad, Engelska, 2025

Del 1248 i serien Lecture Notes in Networks and Systems

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Beskrivning

This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17–19, 2024. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modeling, human computer interaction, online learning /e-learning, computer networks, and web engineering.

Produktinformation

Utgivningsdatum:2025-06-15
Mått:155 x 235 x 37 mm
Vikt:1 235 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:723
Förlag:Springer Nature Switzerland AG
ISBN:9789819617579

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Mer om författaren

Dr. Abrar Ullah is an associate professor and director of Postgraduate Studies at the School of Mathematical and Computer Sciences, Heriot-Watt University, Dubai Campus. He holds an M.Sc. in Computer Science (2000) from the University of Peshawar and a Ph.D. in Security and Usability from the University of Hertfordshire, UK.Dr. Ullah has over 20 years of experience in both industry and academia, with a strong background in teaching and enterprise systems development. He began his teaching career in 2002 as a lecturer at the University of Peshawar and the Provincial Health Services Academy, Peshawar. In 2008, he joined ABMU NHS UK as a lead developer, contributing to several key NHS systems. In 2011, Abrar joined professional services at Cardiff University as “Team Lead & Senior Systems Analyst” and led a number of successful strategic and national level projects.Dr. Sajid Anwar is a full professor at the Center of Excellence in Information Technology Institute of Management Sciences (IMSciences), Peshawar, Pakistan. He received his M.S. (Computer Science, 2007) and Ph.D. degrees (Software Engineering, 2011) from NUCES-FAST, Islamabad. Previously, he was the head of Undergraduate Program in Software Engineering at IMSciences. Dr. Sajid Anwar is a leading expert in software architecture engineering and software maintenance prediction. His research interests are cross-disciplinary and industry focused and includes search-based software engineering; prudent-based expert systems; customer analytics, active learning and applying data mining and machine learning techniques to solve real-world problems. Dr. Sajid Anwar is an associate editor of Expert Systems Journal Wiley. He has conducted and led collaborative research with government organizations and academia and has published over 50 research articles in prestigious conferences and journals.

Innehållsförteckning

Unveiling the Hidden Pandemic of IoT Malware with Biological and Health Approaches.- Auditing Windows Bluetooth Security at the Application Layer.- Comparison of Machine Learning Models for Early Prediction of Diabetes with LIME Interpretability.- Pattern Recognition in Disaster Response: Leveraging Machine Learning for Twitter Analysis.- TTL: Transformer and Transfer Learning Approach To Detect Sunflower Disease.- The Moderating Role of Risk Aversion in an Extended UTAUT Cryptocurrency Adoption Model.- NLP on Text Messages using Sentimentality Investigation.- Audio-Visual Features-based Framework for Advertisement Detection from Sports Videos.- Context-aware Medical Question Answering: An Extended Transformers-Based Approach with BioBERT Encoding for Restricted Domain Queries.- Enhancing Seabass Detection in Aquaculture: A Step Towards Automated Behavioural Analysis using AI.