To address the low-light image (LLI) problem in train driving scenarios, this paper proposes
a progressive and lightweight network called BrightsightNet for LLI enhancement. First, to …

To address the problem of excessive computation in the remote sensing scene classification
(RSSC) algorithms, this paper proposes an efficient RSSC model, which is named …

Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

The rapid development of e-commerce has brought about a sharp increase in the demand
for express packaging materials, which in turn has led to problems such as resource waste …

Household waste is the primary source of environmental pollution due to global population
growth compared to other waste sources. This article aims to develop a framework for a …

We aimed to research the design and path-planning methods of an intelligent disinfection-
vehicle system. A ROS (robot operating system) system was utilized as the control platform …

With urbanization, population, and consumption on the rise, urban waste generation is
steadily increasing. Consequently, waste management systems have become integral to city …

The growing negative effects caused by inadequate waste processing have led to the
widespread implementation of waste classification systems. One effective approach is to …

In recent years, the amount of household waste has increased sharply, and there is an
urgent need to use intelligent waste classification equipment to assist in completing waste …

Data from the Ministry of Environment and Forestry shows that the amount of organic and
non-organic waste in 2023 has started to decline compared to the previous year. However …