The International Conference on Artificial Intelligence and Data Sciences (AiDAS) is an annual conference organized by College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Perak Branch. For the fifth edition of AiDAS (AiDAS2024), it will be co-organized by Faculty of Science, Mahidol University, Thailand and Universiti Tunku Abdul Rahman (UTAR). AiDAS 2024 is technically co-sponsored by the IEEE Thailand Section and IEEE Computer Society Thailand Section. AiDAS2024 is also one of the programs organized under Ipoh International Summit On Professionalism, Research & Education (INSPIREd2024).
AiDAS2024, a premier conference designed to unite scholars, researchers, and professionals from around the globe to present and deliberate on the latest breakthroughs in artificial intelligence and data science. AiDAS 2024 aims to serve as a dynamic platform for the exchange of cutting-edge knowledge, fostering collaborative efforts, and sparking innovative ideas that will propel future advancements in these swiftly evolving fields. AiDAS2024 will feature a comprehensive program of high-quality research papers, enhancing our collective understanding of AI and data science applications. By contributing to the expanding body of knowledge, AiDAS2024 aspires to shape the future of technology and drive transformative progress.
We invite you to join us in this intellectually enriching environment as we work together to influence the trajectory of AI and data sciences. Your participation in AiDAS2024 will be pivotal in shaping discussions, driving collaborations, and envisioning the future of these transformative disciplines.
All submitted papers will undergo rigorous peer review by esteemed experts in the field, who will assess them based on criteria including originality, significance, quality, and clarity. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and will be sent to Scopus for indexing.
AI and Creativity
Deep Learning
Evolutionary Computing
Fuzzy Systems
Hybrid Intelligent Systems
Industrial Applications of AI
Intelligence and Cybersecurity
Intelligent User Interfaces
Knowledge Representation and Reasoning
Knowledge-Based System
Ambient Intelligence
Machine Learning
Model-Based Reasoning
Natural Language Processing
Neural Networks
Ontologies
Pattern Recognition
Planning and Scheduling
Social Network Analysis
Soft Computing
State Space Search
Bayesian Networks
Uncertainty in AI
Vision and Perception
Visualization
Case-Based Reasoning
Cognitive Systems
Constraint Satisfaction
Big Data
Big Data Modeling and Prediction
Data Analytics
Data Mining, Text Mining
Data Pre-processing and Sampling
Data Classification and Taxonomy
Data Metrics and Metrology
Data Representation, Dimensionality Reduction, Processing and Proactive Service Layers
Data Capturing, Management, and Scheduling Techniques
Feature Selection and Development
Foundational Theories and Models of Data Science
Governance and Big Data
Large Scale Optimization
High Performance Computing for Data Analytics
Architecture and Management for Data Science
Web and social text mining
Cloud Computing and Service Data Analysis
Efficient Management of Data Acquisition
Intelligent Analysis of Large Spatial Data
Data Science for Real World Applications
Challenges In Data Science and Advanced Analytics
09月03日
2024
09月04日
2024
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