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of measures aimed at improving air quality are difficult to predict. One reason for this is that ozone formation depends on the concentration of precursor substances such as nitrogen oxides (NOx) and volatile
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Interests: Advanced Markov Chain modeling (e.g., HMM), Monte Carlo simulation, smart metering, health monitoring, anomaly detection, predictive maintenance, system reliability, and energy optimization. Strong
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production, the Fraunhofer ITWM develops prediction models on the basis of which process optimisations are carried out. These models are calibrated by adapting model parameters to measurement data. The quality
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. Therefore, understanding and predicting stability with accuracy and reliability is a central tenet of the design of any complex engineering system. Up to the recent past, aeroelastic stability has not been a
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prediction technologies, and handheld devices, present novel opportunities for African livestock farmers to adapt to climate change and improve environmental performance. The aim of this research is to