Cost and material quantities prediction models for the construction of underground metro stations

F Antoniou, G Aretoulis, D Giannoulakis… - Buildings, 2023 - mdpi.com
This paper addresses the gap in the scientific literature regarding construction cost
estimates for the construction of underground metro stations. It provides preliminary cost …

Accident factors per construction type and stage: A synthesis of scientific research and professional experience

F Antoniou, M Merkouri - International journal of injury control and …, 2021 - Taylor & Francis
Following manufacturing, construction is the industry that is responsible for the majority of
work-related accidents due to the complexity and uniqueness of each construction site. The …

[PDF][PDF] Conceptual estimation of construction duration and cost of public highway projects.

B Mohamed, O Moselhi - J. Inf. Technol. Constr., 2022 - itcon.org
State Highway Agencies (SHAs) and Departments of Transportation (DOTs) allocate their
limited resources to thousands of competing projects in multi-year transportation programs …

Machine learning algorithms for constructions cost prediction: A systematic review

Y Ghadbhan Abed, TM Hasan… - International Journal of …, 2022 - ijnaa.semnan.ac.ir
Machine learning plays a vital role in construction estimation which could make improve the
project's safety, and reliability. Many studies have been proposed to explore the potential …

Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece

P Karadimos, L Anthopoulos - Energies, 2023 - mdpi.com
Amidst a global discourse on energy resources, it is imperative to provide decision makers
with a comprehensive overview of energy consumption (EC) associated with various …

Predicting the schedule and cost performance in public school building projects in Taiwan

YK Juan, LE Liou - Journal of Civil Engineering and Management, 2022 - ijspm.vgtu.lt
Abstract The Ministry of Education (MOE) of Taiwan invests about NTD 30 billion a year in
Public School Building Projects (PSBPs). However, 95% of the PSBPs have been extended …

Forecasting the Final Contract Cost on the Basis of the Owner's Cost Estimation Using an Artificial Neural Network

AM Alsugair, NM Alsanabani, KS Al-Gahtani - Buildings, 2023 - mdpi.com
Raising the final contract cost (FCC) is a significant risk for project owners. This study
hypothesizes that the factors that cause owner's cost estimation (OCE) accuracy and FCC …

Estimating Road Construction Costs with Explainable Machine Learning

R Larocque, AM Boulé… - INFORMS Journal on …, 2024 - pubsonline.informs.org
A preliminary estimation of construction costs is a crucial operation of any project related to
civil engineering. An accurate estimation ensures a proper management of the available …

ANN prediction model of final construction cost at an early stage

KS Al-Gahtani, AM Alsugair… - Journal of Asian …, 2024 - Taylor & Francis
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 …

Predicting roundabout lane capacity using artificial neural networks

A Anagnostopoulos, F Kehagia, E Damaskou… - 2021 - repository-empedu-rd.ekt.gr
Several roundabout capacity methods and approaches have been proposed until now. They
are mainly based either on regression equations of observed capacity and gap acceptance …