Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models

HL Vu, KTW Ng, D Bolingbroke - Waste Management, 2019 - Elsevier
Efficient and effective solid waste management requires sufficient ability to predict the
operational capacity of a system correctly. Waste prediction models have been widely …

[HTML][HTML] Comparative modelling and artificial neural network inspired prediction of waste generation rates of hospitality industry: the case of North Cyprus

SL Azarmi, AA Oladipo, R Vaziri, H Alipour - Sustainability, 2018 - mdpi.com
This study was undertaken to forecast the waste generation rates of the accommodation
sector in North Cyprus. Three predictor models, multiple linear regression (MLR), artificial …

[HTML][HTML] Identification and analysis of sets variables for of municipal waste management modelling

K Nęcka, T Szul, J Knaga - Geosciences, 2019 - mdpi.com
Due to the large quantities of municipal waste generated, their harmful effects on the
environment should be minimized. The rationalization of waste management is therefore …

[HTML][HTML] Forecasting MSW generation using artificial neural network time series model: a study from metropolitan city

SA Ali, A Ahmad - SN Applied Sciences, 2019 - Springer
Forecasting the quantity of municipal solid waste generation is an essential task for
sustainable solid waste management and strategy implementation. The estimation of future …

[HTML][HTML] Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges

A Namoun, A Tufail, MY Khan, A Alrehaili, TA Syed… - Sustainability, 2022 - mdpi.com
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 …

[引用][C] Predictive Analysis of Urban Planning for through the Operation of Artificial Cloud Network

U Junta, L Newiduom, A Opuiyo, I Browndi - International Journal of Science and …, 2022

Machine-learning approaches in geo-environmental engineering: Exploring smart solid waste management

A Lakhouit, M Shaban, A Alatawi, SYH Abbas… - Journal of …, 2023 - Elsevier
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 …

Application of neural networks in wastewater degradation process for the prediction of removal efficiency of pollutants

B Rezai, E Allahkarami - Soft computing techniques in solid waste and …, 2021 - Elsevier
The removal of pollutants from waste streams is necessary, before they get to ecosystem.
Depending upon the volume of wastewater, the employed technique for treating wastewater …

[HTML][HTML] A neural network model for decision-making with application in sewage sludge management

F Facchini, L Ranieri, M Vitti - Applied Sciences, 2021 - mdpi.com
Wastewater treatment (WWT) is a foremost challenge for maintaining the health of
ecosystems and human beings; the waste products of the water-treatment process can be a …

Solid waste management through the applications of mathematical models

A Singh - Resources, Conservation and Recycling, 2019 - Elsevier
Growing world population along with fast economic growth and increased living standards
have increased the municipal waste generation making its management be a foremost …