Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

Application of deep learning algorithms in geotechnical engineering: a short critical review

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Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method

(2020) Lin Wang et al.   Acta Geotechnica

Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning

(2020) Runhong Zhang et al.   Geoscience Frontiers

Dynamic, Data-Driven Decision-Support Approach for Construction Equipment Acquisition and Disposal

(2019) Chang Liu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Depreciation, Building Age, and Market Price Statistics for Reference in Urban Redevelopment Option Pricing

(2019) Jiawei Zhong et al.   JOURNAL OF URBAN PLANNING AND DEVELOPMENT

State-of-the-art review of soft computing applications in underground excavations

(2019) Wengang Zhang et al.   Geoscience Frontiers

Development of a data mining-based analysis framework for multi-attribute construction project information

(2012) Seokho Chi et al.   ADVANCED ENGINEERING INFORMATICS

Field Studies in Construction Equipment Economics and Productivity

(2011) Govindan Kannan   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Modeling the Residual Market Value of Construction Equipment under Changed Economic Conditions

(2010) Gunnar Lucko   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Quantitative Research: Preparation of Incongruous Economic Data Sets for Archival Data Analysis

(2009) Gunnar Lucko et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Assessing Residual Value of Heavy Construction Equipment Using Predictive Data Mining Model

(2008) Hongqin Fan et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING