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 …
We present a survey of machine learning works that attempt to organize the process flow of waste management in smart cities. Unlike past reviews, we focused on the waste generation …
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
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 …
P Oguz-Ekim - Environmental Engineering Science, 2021 - liebertpub.com
Municipal solid waste (MSW) generation forecasting can be considered as the biggest challenge of integrated solid waste management systems, particularly for developing …
W Xia, Y Jiang, X Chen, R Zhao - Waste Management & …, 2022 - journals.sagepub.com
Population growth and the acceleration of urbanization have led to a sharp increase in municipal solid waste production, and researchers have sought to use advanced technology …
Over the past few decades, increased attention has been paid to domestic waste (DW) generation. DW comprises a large percentage of municipal solid waste (MSW), and its …
Developing successful municipal waste management planning strategies is crucial for implementing sustainable development. The research proposed the application of an …
Solid waste management (SWM) is a crucial management entity in urban cities to handle the waste from its generation to disposal to accomplish a clean environment. The waste …
GW Cha, HJ Moon, YC Kim - Journal of Cleaner Production, 2022 - Elsevier
Abstract Information on waste generation rate (WGR) is useful for waste management. Recently, several studies have been conducted to predict WGR using artificial intelligence …