Artificial intelligence applications in solid waste management: A systematic research review
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …
environmental, demographic, socio-economic, and legislative parameters. Such complex …
Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …
environmental areas because of their great self-learning capability and good accuracy in …
Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation
The use of machine learning techniques in waste management studies is increasingly
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
Tackling environmental challenges in pollution controls using artificial intelligence: A review
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …
environmental pollution controls. A number of AI approaches, which start with the reliable …
Forecasting municipal solid waste generation using artificial intelligence modelling approaches
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 …
protect human health, the environment and to preserve natural resources. The design and …
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 …
A review on prediction of municipal solid waste generation models
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 …
process. As a foundation and prerequisite for efficient MSWM plan, quantification and …
Estimation of the generation rate of different types of plastic wastes and possible revenue recovery from informal recycling
Plastic waste generation is an inevitable product of human activities, however its
management faces challenges in many cities. Understanding the existing patterns of plastic …
management faces challenges in many cities. Understanding the existing patterns of plastic …
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 …
waste management plans. In this study, the performance of two predictive models, Artificial …
Comparison of random forest and gradient boosting machine models for predicting demolition waste based on small datasets and categorical variables
GW Cha, HJ Moon, YC Kim - International Journal of Environmental …, 2021 - mdpi.com
Construction and demolition waste (DW) generation information has been recognized as a
tool for providing useful information for waste management. Recently, numerous …
tool for providing useful information for waste management. Recently, numerous …