Abstract: The morphological undecimated wavelet (MUW) is an efficient feature extraction algorithm for bearing fault diagnosis. Currently, the researched MUW is mainly focused on background noise ...

Abstract: Convolution operations are extensively used for deep learning tasks and especially in Convolutional Neural Networks (CNNs) for image processing, computer vision, and other machine learning ...

In this paper, we propose UltraVSR, a novel framework that enables ultra-realistic and temporal-coherent VSR through an efficient one-step diffusion space. A central component of UltraVSR is the ...

NeuralRack emulate a simple guitar effect chain with a pedal, a EQ a Amplifier and a Stereo Cabinet. Optional, NeuralRack could run one Model, or the complete process in buffered mode to reduce the ...