We investigate the impact of noise on time-reversal imaging and propose an approach that significantly enhances the detection of objects in noisy environments. Our method involves the decomposition of ...

An autoencoder is an unsupervised neural network that encodes input images into lower-dimensional representations and decodes them back, aiming for identical outputs. We use the MNIST dataset, ...

As a crucial tool to ensure the safety of industrial processes, process monitoring technology has recently attracted more and more attention. Due to the complexity between industrial process variables ...