Understanding municipal solid waste production and diversion factors utilizing deep-learning methods
Y Zhao, H Li - Utilities Policy, 2023 - Elsevier
We propose a hybrid deep learning neural network model for accurately calculating
municipal solid waste (MSW) production and diversions with socioeconomic and …
municipal solid waste (MSW) production and diversions with socioeconomic and …
Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation
Municipal Solid Waste (MSW) management enact a significant role in protecting public
health and the environment. The main objective of this paper is to explore the utility of using …
health and the environment. The main objective of this paper is to explore the utility of using …
Deep learning hybrid predictions for the amount of municipal solid waste: a case study in Shanghai
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 …
management. Owing to learning complicated and abstract features between the factors and …
Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges
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 …
waste management in smart cities. Unlike past reviews, we focused on the waste generation …
Municipal solid waste forecasting in China based on machine learning models
As the largest producing country of municipal solid waste (MSW) around the world, China is
always challenged by a lower utilization rate of MSW due to a lack of a smart MSW …
always challenged by a lower utilization rate of MSW due to a lack of a smart MSW …
Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: a …
K Lin, Y Zhao, L Tian, C Zhao, M Zhang… - Science of The Total …, 2021 - Elsevier
Municipal solid waste (MSW) amount has direct influence on MSW management, policy-
decision making, and MSW treatment methods. Machine learning has great potential for …
decision making, and MSW treatment methods. Machine learning has great potential for …
Machine learning approaches for municipal solid waste generation forecasting
P Oguz-Ekim - Environmental Engineering Science, 2021 - liebertpub.com
Municipal solid waste (MSW) generation forecasting can be considered as the biggest
challenge of integrated solid waste management systems, particularly for developing …
challenge of integrated solid waste management systems, particularly for developing …
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 …
solid waste (MSW) generation and diversion based on demographic and socio-economic …
Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam
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 …
predict the municipal solid waste (MSW) generation from selected residential areas of …
Hybrid deep learning model for accurate classification of solid waste in the society
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …
generation, segregation, and its management have become fundamental tasks. To provide …