Forecast generation model of municipal solid waste using multiple linear regression

JA Araiza-Aguilar, MN Rojas-Valencia… - Global Journal of …, 2020 - gjesm.net
The objective of this study was to develop a forecast model to determine the rate of
generation of municipal solid waste in the municipalities of the Cuenca del Cañón del …

Prediction of e-waste generation: Application of modified adaptive neuro-fuzzy inference system (MANFIS)

A Khoshand, A Karami, G Rostami… - Waste Management …, 2023 - journals.sagepub.com
An accurate estimation of generated electronic waste (e-waste) plays a pivotal role in the
development of any appropriate e-waste management plan. The present study aimed to …

Estimation of municipal waste generation of Turkey using socio-economic indicators by Bayesian optimization tuned Gaussian process regression

Z Ceylan - Waste Management & Research, 2020 - journals.sagepub.com
Accurate estimation of municipal solid waste (MSW) generation has become a crucial task in
decision-making processes for the MSW planning and management systems. In this study …

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 …

Deep learning hybrid predictions for the amount of municipal solid waste: a case study in Shanghai

K Lin, Y Zhao, JH Kuo - Chemosphere, 2022 - Elsevier
It is crucial to precisely estimate the municipal solid waste (MSW) amount for its sustainable
management. Owing to learning complicated and abstract features between the factors and …

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 …

A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste

O Adeleke, S Akinlabi, TC Jen, I Dunmade - Journal of Reliable Intelligent …, 2023 - Springer
The fault in the method of collection of waste-related data which has resulted in ill-defined
and unreliable waste-data has necessitated the modeling approach. Despite the benefits of …

Prediction for energy content of Taiwan municipal solid waste using multilayer perceptron neural networks

HY Shu, HC Lu, HJ Fan, MC Chang… - Journal of the Air & …, 2006 - Taylor & Francis
In the past decade, the treatment amount of municipal solid waste (MSW) by incineration has
increased significantly in Taiwan. By year 2008,~ 70% of the total MSW generated will be …

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 …

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 …