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 …
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …
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
M Abbasi, A El Hanandeh - Waste management, 2016 - Elsevier
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 …
Machine learning based prediction for China's municipal solid waste under the shared socioeconomic pathways
Reliable forecast of municipal solid waste (MSW) generation is crucial for sustainable and
efficient waste management. Big data analysis is a novel method to forecast MSW more …
efficient waste management. Big data analysis is a novel method to forecast MSW more …
Forecasting municipal solid waste generation using prognostic tools and regression analysis
For an adequate planning of waste management systems the accurate forecast of waste
generation is an essential step, since various factors can affect waste trends. The application …
generation is an essential step, since various factors can affect waste trends. The application …
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 …
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa
Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …
Multi-site household waste generation forecasting using a deep learning approach
M Cubillos - Waste Management, 2020 - Elsevier
Forecasting household waste generation using traditional methods is particularly
challenging due to its high variability and uncertainty. Unlike studies that forecast waste …
challenging due to its high variability and uncertainty. Unlike studies that forecast waste …