Smart Data Mining and Predictive Systems

The basic goal is to successfully apply methods and algorithms developed in the strategic project "Prediction and Adaptation" to various manufacturing systems, machining processes, energy production, conditioning systems etc.
Particular challenges are the hybridization of data-driven models with physical-oriented models, dealing with a very low number of target measurements, high-dimensionality of the learning problem and significant dynamic changes in the processes over time.