Stereo image super-resolution aims at enhancing the quality of super-resolution results by
utilizing the complementary information provided by binocular systems. To obtain …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Background In the last decade, long-tail learning has become a popular research focus in
deep learning applications in medicine. However, no scientometric reports have provided a …

Skin diseases are one of the most common ailments affecting humans. Artificial intelligence
based on deep learning can significantly improve the efficiency of identifying skin disorders …

Multi-threshold image segmentation (MIS) is now a well known image segmentation
technique, and many researchers have applied intelligent algorithms to it, but these methods …

First, this study develops an enhanced slime mould algorithm (MGSMA). The main idea is to
combine the new movement strategy and Gaussian kernel probability strategy to improve …

Abstract 3D object detection in point clouds is important for autonomous driving systems. A
primary challenge in 3D object detection stems from the sparse distribution of points within …

The ant colony optimization algorithm is a classical swarm intelligence algorithm, but it
cannot be used for continuous class optimization problems. A continuous ant colony …

Automated essay scoring is one of the most exciting tasks in natural language processing,
reducing massive workloads and speeding up the learning process and its effectiveness …

With the rapid development of stereoscopic vision applications, stereo image processing
techniques have attracted increasing attention in both academic and industrial communities …