[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning

P Schönfelder, A Aziz, B Faltin, M König - Automation in Construction, 2023 - Elsevier
The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …

Digital twin for intelligent tunnel construction

T Li, X Li, Y Rui, J Ling, S Zhao, H Zhu - Automation in Construction, 2024 - Elsevier
New-generation intelligent construction places higher demands on digitisation and
intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real …

[HTML][HTML] Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques

Z Gharineiat, F Tarsha Kurdi, G Campbell - Remote Sensing, 2022 - mdpi.com
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …

Z Zhou, L Wei, J Yuan, J Cui, Z Zhang, W Zhuo… - Advanced Engineering …, 2023 - Elsevier
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

[HTML][HTML] Accuracy of artificial intelligence-based photographic detection of gingivitis

RCW Chau, GH Li, IM Tew, KM Thu, C McGrath… - international dental …, 2023 - Elsevier
Objectives Gingivitis is one of the most prevalent plaque-initiated dental diseases globally. It
is challenging to maintain satisfactory plaque control without continuous professional …

3D reconstruction of concrete defects using optical laser triangulation and modified spacetime analysis

L Hua, Y Lu, J Deng, Z Shi, D Shen - Automation in Construction, 2022 - Elsevier
Automated investigation of concrete defects has attracted attention with well-developed
computer vision techniques. However, most studies in defect reconstruction mainly focus on …

[HTML][HTML] Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study

RCW Chau, RTC Hsung, C McGrath, EHN Pow… - The Journal of Prosthetic …, 2024 - Elsevier
Statement of problem Computer-aided design and computer-aided manufacturing (CAD-
CAM) technology has greatly improved the efficiency of the fabrication of dental prostheses …

Detection of damage in heritage constructions based on 3D point clouds. A systematic review

LJ Sánchez-Aparicio, FL del Blanco-García… - Journal of Building …, 2023 - Elsevier
Abstract 3D point clouds have emerged as a crucial source of information in the field of
Cultural Heritage due to their ability to capture reality with high density and accuracy. They …

Point cloud-based dimensional quality assessment of precast concrete components using deep learning

J Shu, W Li, C Zhang, Y Gao, Y Xiang, L Ma - Journal of Building …, 2023 - Elsevier
The dimensional quality of precast concrete (PC) subcomponents (concrete and rebars)
should be inspected in advance to ensure assembly quality. Currently, PC components are …

[HTML][HTML] Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications

S Dodampegama, L Hou, E Asadi, G Zhang… - Resources …, 2024 - Elsevier
The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …