Hazard analysis: A deep learning and text mining framework for accident prevention

B Zhong, X Pan, PED Love, J Sun, C Tao - Advanced Engineering …, 2020 - Elsevier
Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Text analytics to analyze and monitor construction project contract and correspondence

M Marzouk, M Enaba - Automation in Construction, 2019 - Elsevier
Text mining is a fast-growing area of research, due to its ability to discover valuable
information and getting insights hidden in plain texts. The aim of this paper is to apply text …

Research on assisting coal mine hazard investigation for accident prevention through text mining and deep learning

T Tingjiang, W Enyuan, Z Ke, G Changfang - Resources Policy, 2023 - Elsevier
Hazard investigation, an effective means of preventing accidents in coal mines, is in a
dilemma of “lack of understanding and management”, because the hazard data recorded …

Text visualization for construction document information management

J Sun, K Lei, L Cao, B Zhong, Y Wei, J Li… - Automation in construction, 2020 - Elsevier
In this study, text mining and visualization technology is applied to extract valuable
information otherwise buried in the dense and abstract form of construction report text and …

Dispute Classification and Analysis: Deep Learning–Based Text Mining for Construction Contract Management

B Zhong, L Shen, X Pan, X Zhong… - Journal of Construction …, 2024 - ascelibrary.org
Disputes routinely arise in construction projects and significantly affect costs and scheduling.
Learning from previous disputes is pivotal for construction contract management. This …

Selecting feasible standard form of construction contracts using text analysis

Y Elkhayat, M Marzouk - Advanced Engineering Informatics, 2022 - Elsevier
Delivering successful projects requires establishing a well-drafted contract, through setting
balanced rights and obligations. Nowadays, Standard Forms of Construction Contracts …

[HTML][HTML] A correlation analysis of construction site fall accidents based on text mining

X Luo, Q Liu, Z Qiu - Frontiers in Built Environment, 2021 - frontiersin.org
Construction site fall accidents are a high-frequency accident type in the construction
industry and have received extensive attention from accident causal factor analysis and risk …

[HTML][HTML] A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill

S Latham, C Giannetti - SN Computer Science, 2023 - Springer
Width-related defects are a common occurrence in the Hot Strip Mill process which can lead
to extra processing, concessions, or scrapping. The detection and Root Cause Analysis of …

Analyzing project data in BIM with descriptive analytics to improve project performance

M Marzouk, M Enaba - Built environment project and asset …, 2019 - emerald.com
Purpose The purpose of this paper is to expand the benefits of building information
modeling (BIM) to include data analytics to analyze construction project performance. BIM is …

Classification of rework root causes in the design stage of projects for contract assessment

R Asadi, JOB Rotimi, S Wilkinson - IOP Conference Series: Earth …, 2022 - iopscience.iop.org
Rework is one of the leading causes of cost and time overruns that primarily affect project
performance. The performance of construction projects can be elevated with the …