Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review
HH Elmousalami - Journal of Construction Engineering and …, 2020 - ascelibrary.org
This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …
drivers that the past literature has classified into two main categories: qualitative and …
Application of artificial neural networks in construction management: a scientometric review
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …
increasingly applied in the field of construction management (CM) during the last few …
Accident prediction in construction using hybrid wavelet-machine learning
Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …
in most countries, even though safety management systems are continuously improving …
Assessing effects of economic factors on construction cost estimation using deep neural networks
There are numerous models proposed for construction cost estimation. Most of them are
based on projects' characteristics only while neglecting the external economic factors. This …
based on projects' characteristics only while neglecting the external economic factors. This …
[HTML][HTML] Estimation and prediction of construction cost index using neural networks, time series, and regression
Y Elfahham - Alexandria Engineering Journal, 2019 - Elsevier
Estimating construction costs and predicting price escalation are major steps for project
owners, estimators, and contractors. The construction costs are always subject to …
owners, estimators, and contractors. The construction costs are always subject to …
Neural network-based interval forecasting of construction material prices
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …
construction projects. Material price fluctuation is one of the most important contributors to …
Improving accuracy in predicting city-level construction cost indices by combining linear ARIMA and nonlinear ANNs
Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …
of construction projects. Linear models such as the autoregressive integrated moving …