Solid waste management (SWM) is critical for the sustainable development of the global
economy and society, and it should involve the whole life cycle process of waste generation …

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

Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …

The rapid development of machine learning algorithms provides new solutions for predicting
the quantity of recycled end-of-life products. However, the Stacking ensemble model is less …

Although new coating development for improved surface protection is necessary, its manual
application has been a difficult problem to solve. In this study, a convolution neural network …

The classification of garbage types is an important issue in today's world, and its proper
implementation can contribute to environmental conservation and improved efficiency of …

Purpose: This research explores the interplay between deep learning algorithms, trust in
sustainable advertising, and prior knowledge of deep learning algorithms in shaping …

This study provides an overview of the problem of natural disaster waste (NDW) and their
management (NDWM), some of the most disastrous events in the twenty-first century, their …

Background The oil and gas industry faces significant challenges in the management of oily
waste, which requires effective reverse logistics practices. The incorporation of software in …

Currently, Mauritius is adopting landfilling as the main waste management method, which
makes the waste sector the second biggest emitter of greenhouse gas (GHG) in the country …