In the realm of waste management, the accurate identification of biodegradable and
nonbiodegradable items remains a critical challenge. An advanced real-time object …

With the advancement in living standards, there has been a significant surge in the quantity
and diversity of household waste. To safeguard the environment and optimize resource …

Waste sorting is highly labor intensive because the wide variety of waste items prohibits
automation. More recently, deep learning (DL) and computer vision technology has …

Construction solid waste contains many small objects, which can limit the model's
recognition performance and lead to suboptimal small object detection. This may cause …

Currently in Ethiopia, pollution and environmental damage brought on by waste increased
along with industrialization, urbanization, and global population levels. Waste sorting, which …

In light of the rapid development of human society, there has been a notable surge in waste
production, which has resulted in environmental pollution and degradation. This is a …

Solid waste detection is of great significance for environmental protection. In recent years,
object detection methods based on deep learning have progressed rapidly. However, it is …

Rapid urbanization has given us many benefits in terms of giving us a better standard of life,
but it sure has brought a lot of problems with it. Solid waste management is a major issue …

At present, throwing objects from car windows is increasingly becoming a major illegal
conduct that pollutes the urban environment and affects the city's image. Apart that, the …

In pursuit of cost-effective manufacturing, enterprises are increasingly adopting the practice
of utilizing recycled semiconductor chips. To ensure consistent chip orientation during …