Recently, deep convolutional neural networks (CNNs) have been successfully applied to the
single-image super-resolution (SISR) task with great improvement in terms of both peak …

The definition of fractional calculus is introduced into a 3D multi-attribute chaotic system in
this paper. The fractional multi-attribute chaotic system (FMACS) numerical solution is …

With the rise of the Internet of Things (IoT) and fifth‐generation (5G) networks, which have
led to a surge in data processing and increased data transfer time, traditional cloud …

With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. Accurate
diagnosis of mild cognitive impairment (MCI) in the prodromal stage of AD can delay onset …

In this paper, we propose a novel nonlocal patch tensor-based visual data completion
algorithm and analyze its potential problems. Our algorithm consists of two steps: the first …

Over the past few years, a significant progress has been made in deep convolutional neural
networks (CNNs)-based image recognition. This is mainly due to the strong ability of such …

To address the color cast and low contrast of underwater images, we propose a color
correction and adaptive contrast enhancement algorithm for underwater image …

Due to the gray values of liver and surrounding tissues and organs are resemblance in
abdominal computed tomography (CT) images, it is difficult to accurately determine the …

With the rapid popularization and development of the Internet of Things (IoT) and 5G
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …