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Distribution Network Fault Prediction Utilising Protection Relay Disturbance Recordings And Machine Learning
As society becomes increasingly reliant on electricity, the reliability requirements for electricity supply continue to rise.
Controlled time series generation for automotive software-in-the-loop testing using GANs
Testing automotive mechatronic systems partly uses the software-in-the-loop approach, where systematically covering inputs of the system-under-test remains a major challenge.
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
Using the proposed models, we derive a staleness-adaptive SGD framework, MindTheStep-AsyncPSGD, for adapting the step size in an online-fashion, which provably reduces the negative impact of asynchrony.
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