Urban biomass and methods of estimating municipal biomass resources
Y Li, LW Zhou, RZ Wang - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Municipal generated biomass contains significant quantities of carbohydrates, which have
considerable potential to be applied as an energy source. It is necessary to investigate the …
considerable potential to be applied as an energy source. It is necessary to investigate the …
Intelligent waste classification system using deep learning convolutional neural network
The accumulation of solid waste in the urban area is becoming a great concern, and it would
result in environmental pollution and may be hazardous to human health if it is not properly …
result in environmental pollution and may be hazardous to human health if it is not properly …
Estimating construction waste generation in the Greater Bay Area, China using machine learning
Reliable construction waste generation data is a prerequisite for any evidence-based waste
management effort, but such data remains scarce in many developing economies owing to …
management effort, but such data remains scarce in many developing economies owing to …
A waste classification method based on a multilayer hybrid convolution neural network
C Shi, C Tan, T Wang, L Wang - Applied Sciences, 2021 - mdpi.com
With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …
classification have been proposed, which is beneficial to the realization of intelligent waste …
Forecasting and the influence of socioeconomic factors on municipal solid waste generation: A literature review
BR Alzamora, RT de Vasconcelos Barros… - Environmental …, 2022 - Elsevier
Managing municipal solid waste is one of the most significant environmental challenges of
the 21st century. Municipalities have been facing difficulties in managing their solid waste …
the 21st century. Municipalities have been facing difficulties in managing their solid waste …
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 …
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 …
Predictive analysis of urban waste generation for the city of Bogotá, Colombia, through the implementation of decision trees-based machine learning, support vector …
JKS Meza, DO Yepes, J Rodrigo-Ilarri, E Cassiraga - Heliyon, 2019 - cell.com
This study presents an analysis of three models associated with artificial intelligence as tools
to forecast the generation of urban solid waste in the city of Bogotá, in order to learn about …
to forecast the generation of urban solid waste in the city of Bogotá, in order to learn about …
Drivers for development of circular economy–A case study of Serbia
M Ilić, M Nikolić - Habitat International, 2016 - Elsevier
Poor waste management in developing countries indicates that waste generation is mostly
associated with the economic status of a society, their weak economy-social factors affected …
associated with the economic status of a society, their weak economy-social factors affected …
Forecasting of municipal solid waste quantity in a developing country using multivariate grey models
In order to plan, manage and use municipal solid waste (MSW) in a sustainable way,
accurate forecasting of MSW generation and composition plays a key role. It is difficult to …
accurate forecasting of MSW generation and composition plays a key role. It is difficult to …