Integrating BIM and AI for smart construction management: Current status and future directions
At present, building information modeling (BIM) has been developed into a digital backbone
of the architecture, engineering, and construction industry. Also, recent decades have …
of the architecture, engineering, and construction industry. Also, recent decades have …
Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry
Informatization and automatization are considered mainstream trends in the future
architecture-engineering-construction/facility management (AEC/FM) industry. Building …
architecture-engineering-construction/facility management (AEC/FM) industry. Building …
An investigation for integration of deep learning and digital twins towards Construction 4.0
M Kor, I Yitmen, S Alizadehsalehi - Smart and Sustainable Built …, 2023 - emerald.com
Purpose The purpose of this paper is to investigate the potential integration of deep learning
(DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an …
(DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an …
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 …
projects and emergent information. With the advent of deep learning, new opportunities …
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles
Recent advancement of remote sensing technologies has brought in accurate, dense, and
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …
Deep-learning-based visual data analytics for smart construction management
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …
operation of construction projects. The development of deep-learning-based methods has …
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning
Hurricanes are among the most devastating natural disasters in the United States, causing
billions of dollars of property damage and insured losses. During extreme wind events …
billions of dollars of property damage and insured losses. During extreme wind events …
Deep learning with small datasets: using autoencoders to address limited datasets in construction management
JMD Delgado, L Oyedele - Applied Soft Computing, 2021 - Elsevier
Large datasets are necessary for deep learning as the performance of the algorithms used
increases as the size of the dataset increases. Poor data management practices and the low …
increases as the size of the dataset increases. Poor data management practices and the low …
[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning
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 …
is difficult and time-consuming. Machine learning and deep learning techniques have …
Automated semantic segmentation of industrial point clouds using ResPointNet++
Currently, as-built building information modeling (BIM) models from point clouds show great
potential in managing building information. The automatic creation of as-built BIM models …
potential in managing building information. The automatic creation of as-built BIM models …