Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation
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The track is focused on theoretical formulations, technical developments, practical applications, methods and case studies that leverage Artificial Intelligence (AI), Machine Learning (ML), Data Analytics, AI/ML-based Technologies, and Emerging Technologies for the automation and optimization of Cyber-Physical Systems in smart factory settings.
Topics under this track include:
- Self-Configuration, Self-Adaption and other Self-X for Smart Factories
- Smart Cities, Smart Buildings and Smart Energy enhanced by AI
- Grey-box Machine Learning
- Real-time Implementation of AI in Automation
- Knowledge Representation and Ontologies
- AI-based Approaches for Security in Cyber Physical Systems
- Unsupervised Learning and Latent Representations
- Networked Adaptive Systems and AI-based Network Digital Twins
- AI Powered Intelligent Interfaces to Smart Distributed Systems
- Machine Learning and Deep Learning for Production
- Algorithms for Predictive Maintenance, Diagnosis, and Repair
- Explainable and Trustworthy AI in Industrial Cyber-Physical Systems
- Industrial Conversational Agents and LLM Applications in Automation
- Dependability of Cyber-Physical Systems
- Data quality, Augmented and Transfer learning, Scarce data in ML
- Time Series Prediction for Industrial Applications