Abstract: Autoencoders are widely recognized as non-probabilistic learning models for extracting useful information from data. Most autoencoder models assume a Euclidean geometry for the underlying ...

It's a pretty neat and super-smooth setup that allows both motors and the engine to contribute when accelerating hard from low to moderate speeds. In all other conditions, that smaller motor-generator ...

Abstract: Landslide extraction plays a critical role in disaster prevention and mitigation. However, acquiring sufficient landslide samples is often challenging, significantly limiting the performance ...