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 …
The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets
The station-free sharing bike is a new sharing traffic mode that has been deployed in a large
scale in China in the early 2017. Without docking stations, this system allows the sharing …
scale in China in the early 2017. Without docking stations, this system allows the sharing …
Impact of COVID-19 pandemic on demand, output, and outcomes of construction projects in Singapore
FYY Ling, Z Zhang, AYR Yew - Journal of management in …, 2022 - ascelibrary.org
This study investigated the impact of COVID-19 pandemic on Singapore's construction
industry in terms of construction demand, output, prices and project performance. A three …
industry in terms of construction demand, output, prices and project performance. A three …
Comparison of artificial intelligence techniques for project conceptual cost prediction: A case study and comparative analysis
HH Elmousalami - IEEE Transactions on Engineering …, 2020 - ieeexplore.ieee.org
Developing a reliable parametric cost model at the conceptual stage of the project is crucial
for project managers and decision makers. Existing methods, such as probabilistic and …
for project managers and decision makers. Existing methods, such as probabilistic and …
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 …
Impact of dynamic workforce and workplace variables on the productivity of the construction industry: New gross construction productivity indicator
R Assaad, IH El-Adaway - Journal of management in engineering, 2021 - ascelibrary.org
Construction productivity is the industry's predominant determinant of performance. Although
the construction industry periodically provides large amount of data, existing studies have …
the construction industry periodically provides large amount of data, existing studies have …
Improving the accuracy of early cost estimates on transportation infrastructure projects
A better understanding of top-down estimating practices and their contribution to budgeting
accuracy allows public transportation agencies to allocate limited construction funds more …
accuracy allows public transportation agencies to allocate limited construction funds more …
Techno-economic and greenhouse gas emission assessment of carbon negative pyrolysis technology
Carbon-negative energy removes carbon dioxide from the atmosphere while providing
energy to society. The pyrolysis-biochar platform achieves carbon-negative energy by …
energy to society. The pyrolysis-biochar platform achieves carbon-negative energy by …
Predicting the volatility of highway construction cost index using long short-term memory
The highway construction cost index (HCCI) is a composite indicator that reflects the price
trend of the highway construction industry. Most available indexes exhibit significant …
trend of the highway construction industry. Most available indexes exhibit significant …
Prediction of unit price bids of resurfacing highway projects through ensemble machine learning
Resurfacing is one of the most common highway projects in Georgia and constitutes a large
portion of the state's highway investment every year. The value of the unit price bid is one of …
portion of the state's highway investment every year. The value of the unit price bid is one of …