… of machine learning works that attempt to organize the process flow of waste management …
considered for this study, with machine learning, waste management, and artificial network as …

… waste generation and diversion data from province of Ontario has been used in this study.
Waste … Local municipalities are responsible for developing their own waste management …

… waste generation, this study aims to develop a reliable and accessible method for estimating
construction waste generation … Firstly, it aims to estimate construction waste generation by …

… machine learning (ML) - based models to predict the municipal solid waste (MSW) generation
… , demography, consumption and waste generation characteristics of the study area. The …

… waste generation from residential properties at the building level using a data mining and
machine learning … Neural Network (NN) machine learning algorithms to estimate weekly waste …

… Two machine learning algorithms, namely decision trees and neural networks, were applied
… that machine learning algorithms can be successfully used to generate waste models with …

… forecasting models for municipal solid waste. The use of machine learning algorithms
can reliably predict monthly USW generation by being trained through a waste generation …

… waste is a difficult task, because it depends on technical, cultural and geometric variables of
the buildings. Machine learning has … the amount of waste generated in construction works. …

… machine learning (gradient boost regression tree) algorithm is adopted to build the waste
generation … , the main influencing factors on MSW generation are identified by weight analysis. …

… (1) DWG R i = ∑ A o f b u i l d i n g i GFA o f b u i l d i n g i where DWG R i is the
demolition-waste generation rate (kg/m 2 ) of building i , A is the waste generation (quantity) (kg) of …