Deep learning techniques have received much attention in the area of image denoising.
However, there are substantial differences in the various types of deep learning methods …

Over the past few decades, hand-based multimodal biometrics systems have achieved
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …

Deep convolutional neural networks (CNNs) have attracted considerable interest in low-
level computer vision. Researches are usually devoted to improving the performance via …

In image denoising, deep convolutional neural networks (CNNs) can obtain favorable
performance on removing spatially invariant noise. However, many of these networks cannot …

Deep convolutional neural networks (CNNs) have been popularly adopted in image super-
resolution (SR). However, deep CNNs for SR often suffer from the instability of training …

Deep convolutional neural networks (CNNs) have been widely applied for low-level vision
over the past five years. According to the nature of different applications, designing …

In cyber–physical–social systems, smart manufacturing has to overcome challenges, such
as uncertainty, diversity, complexity in modeling, long-delayed responses to market …

Industrial processes are typical cyber–physical–social systems (CPSSs), where the effective
management of employees and the efficient control of machines play important roles …

Visual information is extremely important in today's world. Visual information transmitted in
the form of digital images has become a critical mode of communication. As a result, digital …

Contactless palmprint recognition has recently made significant progress in palm-scanning
payment and social security. However, most existing methods are based on handcrafted …