Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …

The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

Agriculture is facing severe challenges from crop stresses, threatening its sustainable
development and food security. This article exploits aerial visual perception for yellow rust …

Visual information is increasingly recognized as a useful method to detect rail surface
defects due to its high efficiency and stability. However, it cannot sufficiently detect a …

Fake detection has become an urgent task. Generative adversarial networks (GANs)
extended to deep learning has shown its extraordinary ability in the fields of image, audio …

In each petrochemical plant around the world, the flare stack as a requisite facility produces
a large amount of soot due to the incomplete combustion of flare gas, and this strongly …

No-reference stereoscopic images quality assessment (NR-SIQA) via deep learning has
gained increasing attention. In this paper, we propose a no-reference stereoscopic image …

Atmospheric electric field signal (AEFS) features can be characterized by their average
value (AV), standard deviation (SD), and entropy value (EV). How to mine and fully utilize …

Stereoscopic image quality measurement (SIQM) has become increasingly important for
guiding stereo image processing and commutation systems due to the widespread usage of …

As the demand for high-quality stereo images has grown in recent years, stereoscopic
image quality assessment (SIQA) has become an important research area in modern image …