... validation. A field-circuit model was developed to simulate both healthy and faulty motor conditions and generate training data. Diagnostic features derived from measured phase current waveforms were processed and used as inputs to a deep convolutional neural network. The framework was rigorously tested...

... The beamforming weights are computed by a convolutional neural network (CNN), which is trained with input–output pairs obtained from the Wiener solution. Findings To validate the robustness of the CNN-based beamformer, it is compared with the traditional beamforming methods, namely, Fourier (FR) beamforming...

.... Design/methodology/approach This study proposes a novel topology optimization method that combines convolutional neural network (CNN) as an effective smoothing filter with the density method and apply the method to the shield design with magnetic nonlinearity. Findings This study demonstrated some...