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Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review
Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …
been a matter of concern for governments across the world. In recent years, there has been …
Artificial intelligence applications in solid waste management: A systematic research review
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …
environmental, demographic, socio-economic, and legislative parameters. Such complex …
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Tackling environmental challenges in pollution controls using artificial intelligence: A review
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …
environmental pollution controls. A number of AI approaches, which start with the reliable …
Estimating construction waste generation in the Greater Bay Area, China using machine learning
Reliable construction waste generation data is a prerequisite for any evidence-based waste
management effort, but such data remains scarce in many develo** economies owing to …
management effort, but such data remains scarce in many develo** economies owing to …
Forecasting municipal solid waste generation using artificial intelligence modelling approaches
Municipal solid waste (MSW) management is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …
protect human health, the environment and to preserve natural resources. The design and …
A hybrid machine-learning model for predicting the waste generation rate of building demolition projects
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 …
Recently, several studies have been conducted to predict WGR using artificial intelligence …
Water quality assessment using NSFWQI, OIP and multivariate techniques of Ganga River system, Uttarakhand, India
Ganga River water is very much stressed with the rapidly increasing population, climate
change and water pollution that increase domestic, agricultural and industrial needs. This …
change and water pollution that increase domestic, agricultural and industrial needs. This …
Landfill area estimation based on solid waste collection prediction using ANN model and final waste disposal options
MM Hoque, MTU Rahman - Journal of Cleaner Production, 2020 - Elsevier
Public health of inhabitants has been affected by the increase of unsound waste
management in the cities of develo** countries. Solid waste management has received …
management in the cities of develo** countries. Solid waste management has received …
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa
Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …