Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …

The particle swarm optimization (PSO) algorithm is a popular evolutionary computation
approach that has received an ever-increasing interest in the past decade owing to its wide …

Aiming to provide a novel paradigm of oil fields, metaverses-based parallel oil fields are
proposed in this article. Compared with the existing smart/intelligent oil fields in cyber …

A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …

Image captioning refers to automatic generation of descriptive texts according to the visual
content of images. It is a technique integrating multiple disciplines including the computer …

Accurate estimation of the remaining useful life (RUL) and health state for rollers is of great
significance to hot rolling production. It can provide decision support for roller management …

Many feasible and promising swarm intelligence algorithms have been proposed to solve
the optimization problems, especially the global numerical optimization problems. It is easier …

In this article, as inspired by multiagent systems, a novel leader–follower-based particle
swarm optimization (LFPSO) algorithm is presented where the particles are classified into …