A population explosion has resulted in garbage generation on a large scale. The process of
proper and automatic garbage collection is a challenging and tedious task for developing …

Garbage detection and disposal have become one of the major hassles in urban planning.
Due to population influx in urban areas, the rate of garbage generation has increased …

Waste recycling is a critical issue for environment pollution management while garbage
classification determines the recycling efficiency. In order to reduce labor costs and increase …

In recent years, garbage classification has become a hot topic in China, and legislation on
garbage classification has been proposed. Proper garbage classification and improving the …

Garbage recycling is becoming an urgent need for the people as the rapid development of
human society is producing colossal amount of waste every year. However, current machine …

Developing nations today face a major hurdle of excessive waste generation due to
overpopulation and rapid urbanization. Also, the waste management systems in such …

This paper presents an extensive research carried out for enhancing the performances of
convolutional neural network (CNN) object detectors applied to municipal waste …

With the development of smart city in major cities at home and abroad, especially the
management of smart city, how to improve the intelligence level of urban environment …

In recent years, object detection has gained significant interest and is considered a
challenging problem in computer vision. Object detection is mainly employed for several …

An increasing number of researchers are using deep learning technology to classify and
process garbage in rural areas, and have achieved certain results. However, the existing …