Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …

Proper waste separation is essential for recycling. However, it can be challenging to identify
waste materials accurately, especially in real-world settings. In this study, a systematic …

With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …

In this paper, ConvNeXt is selected as a model for waste classification from digital images.
ConvNeXt is a CNN-based backbone network that has been proposed to further improve the …

Underground target detection plays an important role in maintaining underground space
security and relies on efficient real-time detection methods. Electromagnetic detection …

Solid ashes constitute the world's leading environmental problem and their efficient
recycling requires specific origin information. Chemical signatures encode the …

Classification of waste for recycling has been a focal point for scientists interested in the field
of conservation of the environment. Recycling consists of numerous steps, of which one of …

As the severity of global waste pollution continues to escalate, governments are increasingly
prioritizing the promotion of waste sorting. This study engaged in the literature mapping of …