Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Through the combination of virtual and real, multi-dimensional perception, and accurate
mapping, digital twin (DT) could describe the physical world in real-time and provide a …
mapping, digital twin (DT) could describe the physical world in real-time and provide a …
Pretrained domain-specific language model for natural language processing tasks in the AEC domain
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …
information processing and acquiring from unstructured textual data based on natural …
AutoDefect: Defect text classification in residential buildings using a multi-task channel attention network
The sustainability of a building can be ensured through effective maintenance. Effective
defect management, which is essential for maintaining the performance and longevity of …
defect management, which is essential for maintaining the performance and longevity of …
Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework
X Pan, B Zhong, Y Wang, L Shen - Advanced Engineering Informatics, 2022 - Elsevier
Accident reports provide information to understand why and how events occur. Learning
from past accident reports is critical for preventing accidents or injuries in construction safety …
from past accident reports is critical for preventing accidents or injuries in construction safety …
Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining
Timely safety hazard management can reduce the probability of safety accidents at
construction sites. However, the formulation of safety hazard management measures is a …
construction sites. However, the formulation of safety hazard management measures is a …
Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects
J Matthews, PED Love, SR Porter, W Fang - International Journal of …, 2022 - Elsevier
Within construction, we have become increasingly accustomed to relying on the benefits of
digital technologies, such as Building Information Modelling, to improve the performance …
digital technologies, such as Building Information Modelling, to improve the performance …
Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model
With the increasing traveling speed of railway transportation, rail right-of-way intrusions can
cause high-consequence accidents and pose severe challenges to railway safety. Although …
cause high-consequence accidents and pose severe challenges to railway safety. Although …
Automatic classification of construction safety reports using semi-supervised YAKE-Guided LDA approach
Abstract Literature on supervised Machine-Learning (ML) approaches for classifying text-
based safety reports for the construction sector has been growing. Recent studies have …
based safety reports for the construction sector has been growing. Recent studies have …
FF-BERT: A BERT-based ensemble for automated classification of web-based text on flash flood events
The web is a rich information repository that can be mined to uncover additional data about
past flash flood (FF) events, currently missing from existing structured databases. However …
past flash flood (FF) events, currently missing from existing structured databases. However …
Convolutional neural network algorithm–based novel automatic text classification framework for construction accident reports
X Luo, X Li, X Song, Q Liu - Journal of Construction Engineering and …, 2023 - ascelibrary.org
Construction sites remain one of the most hazardous workplaces globally. To improve
workplace safety in the construction industry and reduce the personal injuries and …
workplace safety in the construction industry and reduce the personal injuries and …