Artificial intelligence enabled project management: a systematic literature review
In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies
such as artificial intelligence for more efficient and green human-centric production. In a …
such as artificial intelligence for more efficient and green human-centric production. In a …
Artificial intelligence in construction asset management: A review of present status, challenges and future opportunities
L Rampini, FR Cecconi - Journal of Information Technology in …, 2022 - re.public.polimi.it
The built environment is responsible for roughly 40% of global greenhouse emissions,
making the sector a crucial factor for climate change and sustainability. Meanwhile, other …
making the sector a crucial factor for climate change and sustainability. Meanwhile, other …
Fuzzy AHP application for supporting contractors' bidding decision
This paper proposes the author's model based on the Fuzzy Analytic Hierarchy Process
(FAHP) to improve the efficiency of contractor bidding decisions. The essence of the AHP …
(FAHP) to improve the efficiency of contractor bidding decisions. The essence of the AHP …
Predicting the occurrence of construction disputes using machine learning techniques
The construction industry is overwhelmed by an increasing number and severity of disputes.
The primary objective of this research is to predict the occurrence of disputes by utilizing …
The primary objective of this research is to predict the occurrence of disputes by utilizing …
Vision-based activity classification of excavators by bidirectional LSTM
Advancements in deep learning and vision-based activity recognition development have
significantly improved the safety, continuous monitoring, productivity, and cost of the …
significantly improved the safety, continuous monitoring, productivity, and cost of the …
Deep learning in construction: Review of applications and potential avenues
EL Jacobsen, J Teizer - Journal of Computing in Civil Engineering, 2022 - ascelibrary.org
Neural networks (NNs) have seen an increase in popularity in the last few years. As found in
several papers, they outperformed other machine learning algorithms and have improved …
several papers, they outperformed other machine learning algorithms and have improved …
Dual hesitant fuzzy Correlation coefficient-based decision-making algorithm and its applications to Engineering Cost Management problems
Engineering management plays a significant part in project construction, and it is a process
involved with making decision under uncertainty. When decision makers are hesitant to …
involved with making decision under uncertainty. When decision makers are hesitant to …
Empirical bid or no bid decision process in international construction projects: Structural equation modeling framework
The bid or no bid decision in international construction projects requires complex
multiattribute analysis. Thus far, there exists no comprehensive framework to support the …
multiattribute analysis. Thus far, there exists no comprehensive framework to support the …
Bidding strategy in construction public procurement: A contractor's perspective
A contractor's ability to prepare a competitive bid for a construction tender is crucial for its
survival on the market. The bid price estimation strategy should promote the probability of …
survival on the market. The bid price estimation strategy should promote the probability of …
Configuration knowledge modeling: How to extend configuration from assemble/make to order towards engineer to order for the bidding process
The bidding process is one of the most important phases for system contractors. A
successful bid implies defining and implementing attractive and realistic systems solutions …
successful bid implies defining and implementing attractive and realistic systems solutions …