Marine debris is severely threatening the marine lives and causing sustained pollution to the
whole ecosystem. To prevent the wastes from getting into the ocean, it is helpful to clean up …

With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

Despite abundant research on the application of artificial intelligence (AI) in reverse
logistics, no comprehensive study with bibliometric and network analysis has been …

Waste management has grown to become one of the leading global challenges due to the
massive generation of thousands of tons of waste that is produced daily, leading to severe …

Diabetic retinopathy (DR) is one of the common chronic complications of diabetes and the
most common blinding eye disease. If not treated in time, it might lead to visual impairment …

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 …

In today's conditions, where the human population is increasing, environmental pollution is
also increasing around the world. One of the most important causes of environmental …

The current paper aims at the evaluation of computer vision methods to identify RDF (Refuse-
derived fuels) fractions based on images of the RDF particles. For this purpose, images of …

Training large neural networks on big datasets requires significant computational resources
and time. Transfer learning reduces training time by pre-training a base model on one …

As one of the major rice producers, Indonesia faces significant challenges related to plant
diseases such as blast, brown spot, tugro, leaf smut, and blight. These diseases threaten …