In the realm of computer science and information technology, scientific methodologies can be categorized into two overarching paradigms: analytical approaches and strategies grounded in machine learning or optimization techniques. In the context of machine learning, the massive employment of neural&#x...

This dissertation focuses on new architectures for computational speech generation using neural networks. With their advent, there has been a very vigorous development of new methods that have enabled the generation of speech with higher quality and naturalness than traditional methods have&...

The work was focused on the research and development of methods, software and the necessary components of the measuring chain for the purpose of analysis and subsequent monitoring of the torsional interaction of the turbine-generator with the events in the electricity network. As&...

The quantification of the dynamic force coefficients of labyrinth seals used in steam turbines is currently not clearly resolved. Numerical tools offer the calculation of seal coefficients in the design of the turbomachinery; however, a lack of experimental data makes comparison and&#x...

This dissertation deals in detail with diagnostics and monitoring of steam turbine rotating blades. Specifically, it focuses on the rotating blades of the last bladed wheel of the low-pressure turbine. Blades installed in this part are forced to vibrate at most due to their si...