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Laboratories Protection and Automation Lab In the Protection and Automation Lab, the future requirements for smart grid secondary equipment are investigated, especially in consideration of the change towards …
IceCube data. The determination of the neutrino energy presents an ill-conditioned inverse problem, requiring to infer the energy from measured detector quantities. This challenge is addressed by the Dortmund …
Here's how it works Enroll in a Bachelor's degree program What requirements do I have to meet? You have a German university entrance qualification (e.g. Abitur) or You have a university entrance qualification …
in Dortmund © Aliona Kardash/TU Dortmund Everyday university life The German university system requires a high degree of independence and self-organization. With a few simple tips, you can still get through …
violating ones. In addition, couplings of similar size to both left- and right-handed quarks are required, implying non-minimal BSM sectors which are carefully balanced against flavor constraints. The decay …
monitoring units. However, the large number of participants poses communication challenges, which requires further developments of solar thermal power plants. Extensive evaluations are needed to investigate …
Online Application for Thesis The fields marked with * are required. Last name * Given name * UniMail address * Please use UniMail address Matriculation number * Study program * Bachelor Wirtschaftswi …
applied to these images. To obtain an appropriate configuration of the model, parameter tuning is required. The evaluation with the mutual-information metric indicates an improvement in image alignment of …
and high computational power. On the other hand, the ever-increasing demand for connectivity will require a lot of innovation in 6G wireless networks, and ML tools will play a major role in solving problems …
empirical models commonly results in an over- or under-estimation of the signal quality parameters and require additional calibration studies. In this paper, we present a novel model-aided deep learning approach …
