… in municipal solid waste production, and researchers have sought to use advanced technology
to solve this problem. Machine learning (… to promote municipal solid waste management (…

… , policies, and regulations for a sustainable waste management system. Additionally, cost-…
In conclusion, machine learning can improve municipal solid waste management efficiency …

… Two machine learning algorithms, namely decision trees and neural networks, were applied
… that machine learning algorithms can be successfully used to generate waste models with …

… to develop models for accurate prediction of municipal solid waste (MSW) generation and
… of 220 municipalities in the province of Ontario, Canada. Two machine learning algorithms, …

… Using machine learning to inform urban operations and … city management and urban solid
waste management by providing one of the first predictive models of building-level waste and …

… This article presents a review of the significance of the amalgamation of IoT and machine
learning (ML) in the SWM to predict waste generation, waste classification, route optimization, …

… The main aim of this work was to compare six machine learning (ML) - based models to
predict the municipal solid waste (MSW) generation from selected residential areas of Vietnam. …

… Machine Learning techniques are powerful methods that could help overcome environmental
urban challenges such as the lack of proper municipal solid waste management (MSWM) …

… However, deep learning concepts and practices have not been widely … in municipal solid
waste management (MSWM). Herein, this research provides a critical review for deep learning …

… composition of municipal solid waste using artificial-intelligence modeling. Most artificial-intelligence
models used for different applications in solid waste characteristics modeling were …