This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself

In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage o

This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the

With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This d

Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fi