Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam

XC Nguyen, TTH Nguyen, DD La, G Kumar… - Resources …, 2021 - Elsevier
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 …

Development of machine learning multi-city model for municipal solid waste generation prediction

W Lu, W Huo, H Gulina, C Pan - Frontiers of Environmental Science & …, 2022 - Springer
Integrated management of municipal solid waste (MSW) is a major environmental challenge
encountered by many countries. To support waste treatment/management and national …

Development of an appropriate model for forecasting municipal solid waste generation in Bangkok

N Sun, S Chungpaibulpatana - Energy Procedia, 2017 - Elsevier
Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of MSW
generation is crucial for sustainable management systems and planning. MSW is …

Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches

M Kannangara, R Dua, L Ahmadi, F Bensebaa - Waste management, 2018 - Elsevier
The main objective of this study was to develop models for accurate prediction of municipal
solid waste (MSW) generation and diversion based on demographic and socio-economic …

Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case …

S Azadi, A Karimi-Jashni - Waste management, 2016 - Elsevier
Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …

New insights into regional differences of the predictions of municipal solid waste generation rates using artificial neural networks

F Wu, D Niu, S Dai, B Wu - Waste Management, 2020 - Elsevier
As one of the most popular non-linear models, artificial neural network (ANN) has been
successfully applied in the prediction of municipal solid waste (MSW). Despite its high …

[HTML][HTML] An ensemble learning based classification approach for the prediction of household solid waste generation

A Namoun, BR Hussein, A Tufail, A Alrehaili, TA Syed… - Sensors, 2022 - mdpi.com
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

Reviewing the influence of sociocultural, environmental and economic variables to forecast municipal solid waste (MSW) generation

L Izquierdo-Horna, R Kahhat… - Sustainable Production …, 2022 - Elsevier
Municipal solid waste (MSW) generation forecasting has become an important tool for
decision-making in urban environments, not only due to its essential role in effective waste …

Municipal solid waste generation in China: influencing factor analysis and multi-model forecasting

L Chhay, MAH Reyad, R Suy, MR Islam… - Journal of Material …, 2018 - Springer
In the developing countries, the inadequacy of basic waste data is a significant obstacle for
municipal solid waste management. To evaluate an effective waste management plan …

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 …