Georgios C. Chasparis

Automated Knowledge Graph Learning in Industrial Processes

2025 · Procedia Computer Science

Industrial processes generate vast amounts of time series data, yet extracting meaningful relationships and insights remains challenging. Knowledge graphs allow to uniquely store and present information, enabling novel capabilities for identifying clusters, temporal relationships, and …

Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Control

2026 · IET Control Theory and Applications

ABSTRACT Traditional controllers have limitations as they rely on prior knowledge about the physics of the problem, require modelling of dynamics, and struggle to adapt to abnormal situations. Deep reinforcement learning (DRL) offers a promising …