[HTML][HTML] Machine learning in construction: From shallow to deep learning

Y Xu, Y Zhou, P Sekula, L Ding - Developments in the built environment, 2021 - Elsevier
The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Convolutional neural networks or vision transformers: Who will win the race for action recognitions in visual data?

O Moutik, H Sekkat, S Tigani, A Chehri, R Saadane… - Sensors, 2023 - mdpi.com
Understanding actions in videos remains a significant challenge in computer vision, which
has been the subject of several pieces of research in the last decades. Convolutional neural …

Knowledge graph construction based on ship collision accident reports to improve maritime traffic safety

L Gan, B Ye, Z Huang, Y Xu, Q Chen, Y Shu - Ocean & Coastal …, 2023 - Elsevier
As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

Applications of natural language processing in construction

Y Ding, J Ma, X Luo - Automation in Construction, 2022 - Elsevier
In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

Classification and analysis of deep learning applications in construction: A systematic literature review

R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Text mining and natural language processing in construction

A Shamshiri, KR Ryu, JY Park - Automation in Construction, 2024 - Elsevier
Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …

Deep learning-based data analytics for safety in construction

J Liu, H Luo, H Liu - Automation in construction, 2022 - Elsevier
Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Pretrained domain-specific language model for natural language processing tasks in the AEC domain

Z Zheng, XZ Lu, KY Chen, YC Zhou, JR Lin - Computers in Industry, 2022 - Elsevier
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …

Near miss prediction in commercial aviation through a combined model of grey neural network

Z Zhou, X Zhou, H Qi, N Li, C Mi - Expert Systems with Applications, 2024 - Elsevier
Owing to unprecedented level of safety management, there have been few commercial
aviation accidents recently, obstructing accurate prediction of safety trends. The innovative …

Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources

MT Cao, QV Tran, NM Nguyen, KT Chang - Advanced Engineering …, 2020 - Elsevier
Detecting road damage quickly and accurately facilitates the ability of road-maintenance
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …