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An estimation framework for building information modeling (BIM)-based demolition waste by type

Waste management & research, 2017-12, Vol.35 (12), p.1285-1295

2017

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Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

International journal of environmental research and public health, 2021-08, Vol.18 (16), p.8530

2021

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Assessment of deep learning-based image analysis for disaster waste identification

Journal of cleaner production, 2023-11, Vol.428, p.139351, Article 139351

2023

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New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method

Journal of cleaner production, 2017-12, Vol.168, p.375-385

2017

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Evaluating recycling potential of demolition waste considering building structure types: A study in South Korea

Journal of cleaner production, 2020-05, Vol.256, p.120385, Article 120385

2020

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Developing a Prediction Model of Demolition-Waste Generation-Rate via Principal Component Analysis

International journal of environmental research and public health, 2023-02, Vol.20 (4), p.3159

2023

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Risk assessment of asbestos containing materials in a deteriorated dwelling area using four different methods

Journal of hazardous materials, 2021-05, Vol.410, p.124645, Article 124645

2021

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Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

International journal of environmental research and public health, 2020-09, Vol.17 (19), p.6997

2020

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Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate

Sustainability, 2023-02, Vol.15 (4), p.3691

2023

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Classification Model for Estimating Demolition Waste Generation Considering Structure Types and Wall Material of Detached House by ANOVA Analysis

Advanced materials research, 2014-01, Vol.859, p.191-195

2014

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The Evaluation of Energy Consumption and CO2 Emission on Green Building Certification Apartments in Korea

Applied Mechanics and Materials, 2014-02, Vol.525 (Development of Industrial Manufacturing), p.384-387

2014

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Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate

Sustainability, 2023-07, Vol.15 (13), p.10163

2023

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Calculation of Global Warming Potential and Environmental Cost Depending on Recycling Option of Destruction Waste Wood

Advanced materials research, 2013-01, Vol.734-737, p.1887-1890

2013

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A Study on Energy Consumption and CO2 Emissions in End-Life Cycle of Residential Buildings

Advanced materials research, 2013-01, Vol.689, p.226-229

2013

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Analysis of Waste Generation Characteristics during New Apartment Construction-Considering the Construction Phase

International journal of environmental research and public health, 2019-09, Vol.16 (18), p.3485

2019

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Quantifying asbestos fibers in post-disaster situations: Preventive strategies for damage control

International journal of disaster risk reduction, 2020-09, Vol.48, p.101563, Article 101563

2020

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The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste

International journal of environmental research and public health, 2017-10, Vol.14 (10), p.1216

2017

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A hybrid machine-learning model for predicting the waste generation rate of building demolition projects

Journal of cleaner production, 2022-11, Vol.375, p.134096, Article 134096

2022

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A Study on Energy Consumption and CO2 Emissions According to Manufacture of Recycled Rebar Using Wasted Steel from Building Demolition

Applied Mechanics and Materials, 2013-01, Vol.357-360, p.869-875

2013

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A Study on the Establishment of Demolition Waste DB System by BIM-Based Building Materials

Applied Mechanics and Materials, 2014-02, Vol.522-524 (Environmental Protection and Sustainable Development), p.806-810

2014

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Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks

Sustainability, 2023-11, Vol.15 (23), p.16245

2023

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6 - The effects of data collection method and monitoring of workers’ behavior on the generation of demolition waste

Advances in Construction and Demolition Waste Recycling, 2020, p.81-99

2020

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Hydrogen physisorption based on the dissociative hydrogen chemisorption at the sulphur vacancy of MoS2 surface

Scientific reports, 2017-08, Vol.7 (1), p.1-7, Article 7152

2017

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FAF1 downregulation by Toxoplasma gondii enables host IRF3 mobilization and promotes parasite growth

Journal of cellular and molecular medicine, 2021-10, Vol.25 (19), p.9460-9472

2021

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Flexible, sticky, and biodegradable wireless device for drug delivery to brain tumors

Nature communications, 2019-11, Vol.10 (1), p.5205-9, Article 5205

2019

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An estimation framework for building information modeling (BIM)-based demolition waste by type

Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

Assessment of deep learning-based image analysis for disaster waste identification

New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method

Evaluating recycling potential of demolition waste considering building structure types: A study in South Korea

Developing a Prediction Model of Demolition-Waste Generation-Rate via Principal Component Analysis

Risk assessment of asbestos containing materials in a deteriorated dwelling area using four different methods

Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate

Classification Model for Estimating Demolition Waste Generation Considering Structure Types and Wall Material of Detached House by ANOVA Analysis

The Evaluation of Energy Consumption and CO2 Emission on Green Building Certification Apartments in Korea

Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate

Calculation of Global Warming Potential and Environmental Cost Depending on Recycling Option of Destruction Waste Wood

A Study on Energy Consumption and CO2 Emissions in End-Life Cycle of Residential Buildings

Analysis of Waste Generation Characteristics during New Apartment Construction-Considering the Construction Phase

Quantifying asbestos fibers in post-disaster situations: Preventive strategies for damage control

The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste

A hybrid machine-learning model for predicting the waste generation rate of building demolition projects

A Study on Energy Consumption and CO2 Emissions According to Manufacture of Recycled Rebar Using Wasted Steel from Building Demolition

A Study on the Establishment of Demolition Waste DB System by BIM-Based Building Materials

Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks

6 - The effects of data collection method and monitoring of workers’ behavior on the generation of demolition waste

Hydrogen physisorption based on the dissociative hydrogen chemisorption at the sulphur vacancy of MoS2 surface

FAF1 downregulation by Toxoplasma gondii enables host IRF3 mobilization and promotes parasite growth

Flexible, sticky, and biodegradable wireless device for drug delivery to brain tumors

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