All full paper submissions will also be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.
The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program. Topics of interest include, but are not limited to:
📚︎Artificial Intelligence
Machine Learning; Deep Learning; Reinforcement Learning; Transfer Learning; Federated Learning; Generative AI; Explainable AI; Multi-Agent Systems; Edge Intelligence; Human–AI Interaction; Large Language Models; Self-Supervised Learning; Graph Neural Networks; Continual Learning; Intelligent Optimization;
📚︎Intelligent and Secure Computing
Intelligent Computing; Network Security; Wireless Communication Security; Cyber Threat Detection; Secure Data Analytics; Blockchain Security; Privacy-Preserving Learning; Trustworthy AI; Data Integrity Protection; Secure Cloud Computing; Federated Learning; Robust and Trustworthy AI;
📚︎Data Mining
Big Data Analytics; Knowledge Discovery; Pattern Recognition; Graph Mining; Time Series Analysis; Anomaly Detection; Causal Inference; Data Visualization; Privacy-Preserving Mining; Automated Feature Engineering; Knowledge Graphs; Causal Discovery; Streaming Data Mining;