Developing a prediction model of demolition-waste generation-rate via principal component analysis
Construction and demolition waste accounts for a sizable proportion of global waste and is
harmful to the environment. Its management is therefore a key challenge in the construction …
harmful to the environment. Its management is therefore a key challenge in the construction …
Development of machine learning model for prediction of demolition waste generation rate of buildings in redevelopment areas
Owing to a rapid increase in waste, waste management has become essential, for which
waste generation (WG) information has been effectively utilized. Various studies have …
waste generation (WG) information has been effectively utilized. Various studies have …
Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate
Smart management of construction and demolition (C&D) waste is imperative, and
researchers have implemented machine learning for estimating waste generation. In Korea …
researchers have implemented machine learning for estimating waste generation. In Korea …
Prediction of large-scale demolition waste generation during urban renewal: A hybrid trilogy method
As a result of land resources constraining in China, demolition and reconstruction of existing
buildings become an important means to meet the requirement of urban renewal, in which a …
buildings become an important means to meet the requirement of urban renewal, in which a …
Development of a hybrid model to predict construction and demolition waste: China as a case study
Construction and demolition waste (C&DW) is currently a worldwide issue, and the situation
is the worst in China due to a rapid increase in the construction industry and the short life …
is the worst in China due to a rapid increase in the construction industry and the short life …
Development of a prediction model for demolition waste generation using a random forest algorithm based on small datasets
Recently, artificial intelligence (AI) technologies have been employed to predict construction
and demolition (C&D) waste generation. However, most studies have used machine …
and demolition (C&D) waste generation. However, most studies have used machine …
Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks
GW Cha, CW Park, YC Kim, HJ Moon - Sustainability, 2023 - mdpi.com
In South Korea, demolition waste (DW) management has become increasingly significant
owing to the rising number of old buildings. Effective DW management requires an efficient …
owing to the rising number of old buildings. Effective DW management requires an efficient …
A hybrid machine-learning model for predicting the waste generation rate of building demolition projects
GW Cha, HJ Moon, YC Kim - Journal of Cleaner Production, 2022 - Elsevier
Abstract Information on waste generation rate (WGR) is useful for waste management.
Recently, several studies have been conducted to predict WGR using artificial intelligence …
Recently, several studies have been conducted to predict WGR using artificial intelligence …
New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method
The purpose of this study is to propose a classification method for building demolition waste
(DW) that is different from existing studies and to develop a demolition waste generation rate …
(DW) that is different from existing studies and to develop a demolition waste generation rate …
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 …