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Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents

Buildings (Basel), 2022-11, Vol.12 (11), p.1933

2022

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Generating synthetic data with variational autoencoder to address class imbalance of graph attention network prediction model for construction management

Advanced engineering informatics, 2024-10, Vol.62, p.102606, Article 102606

2024

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A decision-support productive resource recommendation system for enhanced construction project management

Advanced engineering informatics, 2024-10, Vol.62, p.102793, Article 102793

2024

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Predicting the Cost of Rework in High-Rise Buildings Using Graph Convolutional Networks

Journal of construction engineering and management, 2024-08, Vol.150 (8)

2024

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Predicting Accident Outcomes in Cross-Border Pipeline Construction Projects Using Machine Learning Algorithms

Arabian journal for science and engineering (2011), 2023-10, Vol.48 (10), p.13771-13789

2023

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Predicting the Impact of Construction Rework Cost Using an Ensemble Classifier

Sustainability, 2022-11, Vol.14 (22), p.14800

2022

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AN ASSOCIATION RULE MINING MODEL FOR THE ASSESSMENT OF THE CORRELATIONS BETWEEN THE ATTRIBUTES OF SEVERE ACCIDENTS

Journal of civil engineering and management, 2020-04, Vol.26 (4), p.315-330

2020

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Predicting the Cost Outcome of Construction Quality Problems Using Case-Based Reasoning (CBR)

Buildings (Basel), 2022-11, Vol.12 (11), p.1946

2022

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Predicting the outcome of construction incidents

Safety science, 2019-03, Vol.113, p.91-104

2019

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Safety assessment in megaprojects using artificial intelligence

Safety science, 2019-10, Vol.118, p.273-287

2019

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Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks

Journal of construction engineering and management, 2020-03, Vol.146 (3)

2020

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A decentralized structure to reduce and resolve construction disputes in a hybrid blockchain network

Automation in construction, 2022-02, Vol.134, p.104056, Article 104056

2022

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Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract

Journal of construction engineering and management, 2022-04, Vol.148 (4)

2022

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Development of zero-based budgeting approach for multinational construction contractors

Engineering, construction, and architectural management, 2023-11, Vol.30 (10), p.5217-5232

2023

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Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification

Journal of construction engineering and management, 2022-06, Vol.148 (6)

2022

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A quantitative, evidence-based analysis of correlations between lean construction and building information modelling

Smart and Sustainable Built Environment, 2023-11, Vol.12 (5), p.975-1001

2023

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Comprehensive Root Cause Analysis of Construction Defects Using Semisupervised Graph Representation Learning

Journal of construction engineering and management, 2023-09, Vol.149 (9)

2023

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Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning

Journal of construction engineering and management, 2024-01, Vol.150 (1)

2024

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Value Creation in PPP Projects Undertaken in the Turkish Healthcare Industry

Journal of construction engineering and management, 2023-11, Vol.149 (11)

2023

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Performance‐driven contractor recommendation system using a weighted activity–contractor network

Computer-aided civil and infrastructure engineering, 2024-08

2024

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Prioritization of risk mitigation strategies for contact with sharp object accidents using hybrid bow-tie approach

Safety science, 2023-10, Vol.166, p.106248, Article 106248

2023

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Comparison of Case-Based Reasoning and Artificial Neural Networks

Journal of computing in civil engineering, 1999-07, Vol.13 (3), p.162-169

1999

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Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis

Journal of construction engineering and management, 2022-12, Vol.148 (12)

2022

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Potential benefits of agile project management in improving construction project performances: A case study of Iraq

Journal of Construction Engineering, Management & Innovation, 2022-06, Vol.5 (2), p.64-76

2022

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Optimizing water quality in urban distribution networks: Leveraging digital twin technology for real-time demand management

Journal of Construction Engineering, Management & Innovation, 2024-06, Vol.7 (2), p.144-156

2024

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Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents

Generating synthetic data with variational autoencoder to address class imbalance of graph attention network prediction model for construction management

A decision-support productive resource recommendation system for enhanced construction project management

Predicting the Cost of Rework in High-Rise Buildings Using Graph Convolutional Networks

Predicting Accident Outcomes in Cross-Border Pipeline Construction Projects Using Machine Learning Algorithms

Predicting the Impact of Construction Rework Cost Using an Ensemble Classifier

AN ASSOCIATION RULE MINING MODEL FOR THE ASSESSMENT OF THE CORRELATIONS BETWEEN THE ATTRIBUTES OF SEVERE ACCIDENTS

Predicting the Cost Outcome of Construction Quality Problems Using Case-Based Reasoning (CBR)

Predicting the outcome of construction incidents

Safety assessment in megaprojects using artificial intelligence

Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks

A decentralized structure to reduce and resolve construction disputes in a hybrid blockchain network

Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract

Development of zero-based budgeting approach for multinational construction contractors

Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification

A quantitative, evidence-based analysis of correlations between lean construction and building information modelling

Comprehensive Root Cause Analysis of Construction Defects Using Semisupervised Graph Representation Learning

Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning

Value Creation in PPP Projects Undertaken in the Turkish Healthcare Industry

Performance‐driven contractor recommendation system using a weighted activity–contractor network

Prioritization of risk mitigation strategies for contact with sharp object accidents using hybrid bow-tie approach

Comparison of Case-Based Reasoning and Artificial Neural Networks

Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis

Potential benefits of agile project management in improving construction project performances: A case study of Iraq

Optimizing water quality in urban distribution networks: Leveraging digital twin technology for real-time demand management

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