Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Abstract: As underground power cable networks continue to expand, conventional manual inspections struggle to efficiently detect pipeline defects or debris in dark, confined, and winding environments.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Public discourse has focused a lot on artificial intelligence in the past few years. And even though the technology is hyped ...

Abstract: Gas-insulated switch-gear (GIS) defects, such as internal bubbles, surface cracks, and high pressure breakdowns, critically threaten power transmission reliability. However, conventional ...