The reliability of the transmission grid is challenged by the integration of intermittent
renewable energy sources into the grid. For model-based reliability studies, it is important to …

Sensors, and also actuators or external sources such as databases serve as data sources in
order to realise condition monitoring of industrial applications or the acquisition of …

Abstract Hidden Markov fields (HMFs) have been successfully used in many areas to take
spatial information into account. In such models, the hidden process of interest X is a Markov …

Machine Learning is a field of study that focuses on developing algorithms and statistical
models that enable computer systems to automatically learn and improve from experience …

An important issue in statistical image and signal segmentation consists in estimating the
hidden variables of interest. For this purpose, various Bayesian estimation algorithms have …

The power output between the various wind turbines located in the same wind park (or in
geographic proximity) is highly dependent. As evidence to this dependency structure, we …

Estimation of hidden variables is among the most challenging tasks in statistical signal
processing. In this context, hidden Markov chains have been extensively used due to their …