Accepted and Presented papers will be published in
Atlantis Press Proceedings – a part of Springer Nature
TRACK 1
⦿ Supervised, Unsupervised, and Semi-supervised Learning
⦿ Deep Learning Architectures and Training Strategies
⦿ Generative Models and Representation Learning
⦿ Reinforcement Learning and Sequential Decision Making
⦿ Optimization Algorithms for Intelligent Systems
⦿ Explainable AI (XAI) and Interpretable Models
⦿ Edge AI and TinyML for Resource-Constrained Devices
⦿ Multimodal Learning (Text, Image, Audio Integration)
⦿ AI for Cybersecurity and Anomaly Detection
⦿ Trustworthy AI: Fairness, Bias, Accountability, and Ethics
TRACK 2
⦿ Data Mining and Knowledge Discovery
⦿ Feature Engineering and Dimensionality Reduction
⦿ Probabilistic Models and Statistical Learning
⦿ Big Data Processing Frameworks
⦿ Knowledge Graphs and Semantic Computing
⦿ Intelligent Information Retrieval Systems
⦿ Recommender Systems and Personalization Techniques
⦿ Text Mining and Natural Language Processing for Data Science
⦿ Explainable Data Science and Model Interpretability
TRACK 3
⦿ Evolutionary Algorithms and Genetic Programming
⦿ Swarm Intelligence and Nature-Inspired Computing
⦿ Fuzzy Logic and Neuro-Fuzzy Systems
⦿ Hybrid Intelligent Systems
⦿ Intelligent Optimization Techniques
⦿ Bio-Inspired Computing (Artificial Immune Systems, Memetic Algorithms)
⦿ Differential Evolution and Advanced Metaheuristics
⦿ Cognitive Computing and Brain-Inspired Systems
TRACK 4
⦿ Intelligent Decision Support Systems
⦿ Multi-Agent Systems and Distributed Intelligence
⦿ Cognitive and Adaptive Systems
⦿ Intelligent Software Systems and Frameworks
⦿ Human-Centered Intelligent Systems
⦿ Internet of Things (IoT) and Cyber-Physical Intelligent Systems
⦿ Digital Twins and Smart System Architectures
⦿ Microservices and Service-Oriented Intelligent Architectures
⦿ AI-Driven System Design and Architecture Optimization
TRACK 5
⦿ Medical Image and Biomedical Signal Processing
⦿ Remote Sensing and Satellite Image Analysis
⦿ Audio Processing and Speech Emotion Recognition
⦿ Generative Models for Image, Audio, and Video Synthesis
⦿ Object Detection, Tracking, and Activity Recognition
⦿ Pattern Recognition and Classification
⦿ Intelligent Signal Processing Techniques
⦿ Image and Video Analytics
⦿ Speech and Natural Language Processing
⦿ Multimodal Intelligent Systems
TRACK 6
⦿ AI-based Structural Health Monitoring and Damage Detection (Civil Engineering Applications)
⦿ Intelligent Systems for Predictive Maintenance and Fault Diagnosis (Mechanical Systems)
⦿ Intelligent Control Systems using Machine Learning (Electrical and Power Systems)
⦿ Deep Learning for Signal and Image Processing (Electronics and Communication Systems)
⦿ Intelligent Robotics and Autonomous Systems
⦿ Smart Sensing and Monitoring using AI
⦿ AI for Healthcare, Smart Cities, and Industrial Applications