Proceedings of International Conference on Information Technology and Applications : ICITA 2024 (Lecture Notes in Networks and Systems)

Proceedings of International Conference on Information Technology and Applications : ICITA 2024 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 668 p.
  • 言語 ENG
  • 商品コード 9789819617579

Full Description

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.

Contents

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.

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