Recognized as a realistic image generator, Generative Adversarial Network (GAN) occupies
a progressive section in deep learning. Using generative modeling, the underlying …

Traditional fault diagnosis approaches of rolling bearing often need abundant labeled data
in advance while some certain fault data are difficult to be acquired in engineering …

Deep generative models, like GANs, have considerably improved the state of the art in
image synthesis, and are able to generate near photo-realistic images in structured domains …

Image manipulation under the guidance of textual descriptions has recently received a
broad range of attention. In this study, we focus on the regional editing of images with the …

The high prevalence of fraud in contemporary financial transactions necessitates advanced
anomaly detection systems to address the significant imbalance between legitimate and …

Crafting effective deep learning models for medical image analysis is a complex task,
particularly in cases where the medical image dataset lacks significant inter-class variation …

Advancements in technology have improved human well-being but also enabled new
avenues for criminal activities, including digital exploits like deep fakes, online fraud, and …

In recent years, the generative adversarial network (GAN)-based image translation model
has achieved great success in image synthesis, image inpainting, image super-resolution …

The purpose of the article is to create an effective method for low-delay monitoring of the
operating state of a drill string and a drill bit without interfering with the proper drilling …

Offline signature verification (OfSV) is essential in preventing the falsification of documents.
Deep learning (DL) based OfSVs require a high number of signature images to attain …