Machine learning and deep learning in project analytics: methods, applications and research trends
Project analytics refers to applying analytical techniques and methods to past and present
data to gain insights into how the underlying project is performing. Machine learning (ML) …
data to gain insights into how the underlying project is performing. Machine learning (ML) …
Construction 4.0 technology evaluation using fuzzy TOPSIS: Comparison between sustainability and resiliency, well-being, productivity, safety, and integrity
This study aims to compare the impact of Construction 4.0 technologies on different
organizational core values, focusing on sustainability and resiliency, well-being, productivity …
organizational core values, focusing on sustainability and resiliency, well-being, productivity …
Cost prediction of building projects using the novel hybrid RA-ANN model
Purpose Accurate and timely cost prediction is critical to the success of construction projects
which is still facing challenges especially at the early stage. In the context of rapid …
which is still facing challenges especially at the early stage. In the context of rapid …
Are current shipbuilding cost estimation methods ready for a sustainable future? A literature review of cost estimation methods and challenges
G Alblas, J Pruijn - International Shipbuilding Progress, 2024 - content.iospress.com
In the fiercely competitive shipbuilding industry, precise cost estimates must be considered
as they serve as a critical input for determining market prices effectively and ensuring a …
as they serve as a critical input for determining market prices effectively and ensuring a …
ANN prediction model of final construction cost at an early stage
Previous studies developed models to predict final construction cost (FCC) values based on
many inputs, which makes them difficult to use. However, relying on models with relatively …
many inputs, which makes them difficult to use. However, relying on models with relatively …
An integrated DEMATEL and system dynamic model for project cost prediction
Actual cost fluctuations in construction projects are common in the construction industry,
including the Kingdom of Saudi Arabia (KSA). This study's objective is to establish a …
including the Kingdom of Saudi Arabia (KSA). This study's objective is to establish a …
Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis
Z Liu, J Lin - Journal of Asian Architecture and Building …, 2024 - Taylor & Francis
This study focuses on addressing housing gaps in populous southern countries by
emphasizing the importance of accurate early cost estimation in construction projects. It …
emphasizing the importance of accurate early cost estimation in construction projects. It …
[HTML][HTML] A multi-objective window placement approach using BIM and surrogate model
Conventional expertise-based approaches yield less-than-optimal window placement
schemes (WPSs). The simulation-based window placement approaches (eg, EnergyPlus) …
schemes (WPSs). The simulation-based window placement approaches (eg, EnergyPlus) …
Artificial intelligence-based pre-conception stage construction budget decision-making model and tool for residential buildings
Purpose Develo** a reliable cost estimate at the early stage of construction projects is
challenging due to inadequate project information. Most of the information during this stage …
challenging due to inadequate project information. Most of the information during this stage …
[HTML][HTML] Leveraging Artificial Intelligence in Project Management: A Systematic Review of Applications, Challenges, and Future Directions
DS Adamantiadou, L Tsironis - Computers, 2025 - mdpi.com
This article presents a systematic literature review exploring the integration of Artificial
Intelligence (AI) methodologies in project management (PM). Key applications include cost …
Intelligence (AI) methodologies in project management (PM). Key applications include cost …