Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …

Abstract Machine vision-based inspection technologies are gaining considerable
importance for automated monitoring and quality control of manufactured products in recent …

In recent years, more and more scholars devoted themselves to the research of the target
detection algorithm due to the continuous development of deep learning. Among them, the …

Garbage classification technology is not only an important basis for the harmless treatment
of waste and resource recovery, but also the inevitable trend of social development. The …

Surface defect detection using deep learning approaches has become a promising area of
research, but the difficulty of accurately locating and segmenting various forms of defects …

Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

Automatic damage detection using deep learning warrants an extensive data source that
captures complex pavement conditions. This paper proposes a thermal-RGB fusion image …