[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
management and logistic challenges which often result in design defects, project delivery …
[HTML][HTML] Machine learning in construction: From shallow to deep learning
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 …
opportunities in construction. Machine learning is a major area of interest within the field of …
Towards big data driven construction industry
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Dataset and benchmark for detecting moving objects in construction sites
A Xuehui, Z Li, L Zuguang, W Chengzhi… - Automation in …, 2021 - Elsevier
Detecting workers and equipment through images/videos can assist in safety monitoring,
quality control, and productivity management at construction sites. Currently, the dominant …
quality control, and productivity management at construction sites. Currently, the dominant …
Automated methods for activity recognition of construction workers and equipment: State-of-the-art review
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …
Performance monitoring of these resources would help project managers improve the …
Evolution of close-range detection and data acquisition technologies towards automation in construction progress monitoring
Automated construction progress monitoring is the prevalent domain amongst researchers,
with much potential for improving digital monitoring technologies and related processes …
with much potential for improving digital monitoring technologies and related processes …
Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning
Recently, vision-based monitoring has been widely adopted in construction management to
improve crew productivity, reduce safety risks, and facilitate site planning. However …
improve crew productivity, reduce safety risks, and facilitate site planning. However …
[HTML][HTML] Activity recognition of construction equipment using fractional random forest
AK Langroodi, F Vahdatikhaki, A Doree - Automation in construction, 2021 - Elsevier
The monitoring and tracking of construction equipment, eg, excavators, is of great interest to
improve the productivity, safety, and sustainability of construction projects. In recent years …
improve the productivity, safety, and sustainability of construction projects. In recent years …
Incentivisation of digital technology takers in the construction industry
A Ebekozien, MS Samsurijan - Engineering, Construction and …, 2022 - emerald.com
Purpose Studies showed that digital technology applications in the construction industry are
low, especially in many developing nations. Construction incentivisation (CI) is one of the …
low, especially in many developing nations. Construction incentivisation (CI) is one of the …