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Proceedings of International Conference on Information Technology and Applications : ICITA 2024 / edited by Abrar Ullah, Sajid Anwar.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Ullah, Abrar.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1248
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Telecommunication.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Computational Intelligence.
- Artificial Intelligence.
- Communications Engineering, Networks.
- Statistics and Computing.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Communications Engineering, Networks.
- Statistics and Computing.
- Physical Description:
- 1 online resource (956 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9617-58-8
- OCLC:
- 1524424945
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