Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element
of planning and implementation of sustainable solid waste management strategies. In this …
of planning and implementation of sustainable solid waste management strategies. In this …
Quantification analysis and prediction model for residential building construction waste using machine learning technique
A Gulghane, RL Sharma, P Borkar - Asian Journal of Civil Engineering, 2023 - Springer
Prediction of construction waste is one of the successful techniques to reduce the amount of
waste generation at source. Estimation of construction waste at each stage or phase of …
waste generation at source. Estimation of construction waste at each stage or phase of …
Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer
The sorting of Construction and Demolition (C&D) waste is a critical step to linking the
recycling system and to the macro prediction, which helps to promote the development of the …
recycling system and to the macro prediction, which helps to promote the development of the …
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 machine learning regression approach for pre-renovation construction waste auditing
The activity from which construction waste arises includes new construction, renovation, and
demolition. Renovation waste was traditionally considered as trivial but in recent years, it …
demolition. Renovation waste was traditionally considered as trivial but in recent years, it …
An agent based environmental impact assessment of building demolition waste management: Conventional versus green management
Z Ding, Y Wang, PXW Zou - Journal of Cleaner Production, 2016 - Elsevier
Waste materials generated from building demolition have become a great challenge to
sustainable urban development due to its consumption of the limited landfill spaces, water …
sustainable urban development due to its consumption of the limited landfill spaces, water …
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 …
[HTML][HTML] Predictive analysis of municipal solid waste generation using an optimized neural network model
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …
implementing sustainable development. The research proposed the application of an …
Prediction of municipal solid waste generation by use of artificial neural network: A case study of Mashhad
GZM JALALI, RE NOURI - 2008 - sid.ir
Accurate prediction of municipal solid waste's quality and quantity is crucial for designing
and programming municipal solid waste management system. But predicting the amount of …
and programming municipal solid waste management system. But predicting the amount of …
Prediction of waste diversion and identification of trends in construction and demolition waste data using data mining
An excessive amount of construction and demolition waste is generated in construction
projects daily. To avoid negative environmental externalities and to promote sustainability, it …
projects daily. To avoid negative environmental externalities and to promote sustainability, it …