[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

L Andeobu, S Wibowo, S Grandhi - Science of The Total Environment, 2022 - Elsevier
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 …

Artificial intelligence applications in solid waste management: A systematic research review

M Abdallah, MA Talib, S Feroz, Q Nasir, H Abdalla… - Waste Management, 2020 - Elsevier
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …

Tackling environmental challenges in pollution controls using artificial intelligence: A review

Z Ye, J Yang, N Zhong, X Tu, J Jia, J Wang - Science of the Total …, 2020 - Elsevier
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

Forecasting municipal solid waste generation using artificial intelligence modelling approaches

M Abbasi, A El Hanandeh - Waste management, 2016 - Elsevier
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 …

A review on prediction of municipal solid waste generation models

KA Kolekar, T Hazra, SN Chakrabarty - Procedia Environmental Sciences, 2016 - Elsevier
Abstract Development of a Municipal Solid Waste Management (MSWM) plan is a complex
process. As a foundation and prerequisite for efficient MSWM plan, quantification and …

Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions

MT Munir, B Li, M Naqvi - Fuel, 2023 - Elsevier
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa

OO Ayeleru, LI Fajimi, BO Oboirien… - Journal of Cleaner …, 2021 - Elsevier
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 …

Seasonal variation of municipal solid waste generation and composition in four East European cities

G Denafas, T Ruzgas, D Martuzevičius… - Resources, conservation …, 2014 - Elsevier
The quality of recyclable and residual municipal solid waste (MSW) is, among other factors,
strongly influenced by the seasonal variation in MSW composition. However, a relatively …

Forecasting of municipal solid waste quantity in a developing country using multivariate grey models

R Intharathirat, PA Salam, S Kumar, A Untong - Waste Management, 2015 - Elsevier
In order to plan, manage and use municipal solid waste (MSW) in a sustainable way,
accurate forecasting of MSW generation and composition plays a key role. It is difficult to …