Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-4 of 4
Keywords: Machine learning
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
A bibliometric review of digital twin-enabled technologies for construction project monitoring and control
Available to Purchase
Built Environment Project and Asset Management 1–20.
Published: 03 February 2026
...Hemanth Kumar N; S.P. Sreenivas Padala Purpose Construction projects often suffer from delays, cost overruns, and fragmented control due to isolated implementation of Computer Vision (CV), Internet of Things (IoT), Building Information Modelling (BIM), and Machine Learning (ML). This study...
Journal Articles
Machine learning-enabled construction project management: systematic review, comparative performance synthesis and implementation framework
Available to Purchase
Built Environment Project and Asset Management 1–23.
Published: 20 January 2026
...Soheila Sadeghi; Chunling Niu; Taimoor Marjani; Reza Lotfi Purpose Machine learning (ML), a subset of artificial intelligence (AI), is increasingly transforming construction project management (CPM) processes, yet a significant gap exists between research advancements and practical implementation...
Journal Articles
Predicting schedule delays of construction projects in the oil and gas industry: comparative study
Available to PurchaseAwsan Mohammed, Anas Bahatheq, Ahmed Ghaithan, Adel Alshibani, Khwaja Mateen Mazher, Ahmed Alrashidi
Built Environment Project and Asset Management (2026) 16 (2): 286–303.
Published: 27 October 2025
... Machine learning Data-driven The oil and gas sector supports the global economy, delivering complex, capital-intensive megaprojects with long timelines (Green et al., 2022). Success is typically measured by the “iron triangle” of cost, time and scope (Badiru and Osisanya, 2016). Despite...
Journal Articles
Predictive modeling of low bid deviations in US transportation infrastructure projects
Available to Purchase
Built Environment Project and Asset Management (2026) 16 (1): 38–56.
Published: 14 August 2025
...Minsoo Baek; Jung Hyun Lee Purpose This study aims to analyze low bid deviations in transportation infrastructure projects, identify key project and market-related factors influencing these deviations, and employ a machine learning (ML) framework to improve bid accuracy and forecasting. Design...
