Estimation at completion in civil engineering projects: review of regression and soft computing models

AM Araba, ZA Memon… - Knowledge …, 2021 - … journals.publicknowledgeproject.org
Construction projects are usually associated with several challenges owing to the varying
process during the project lifetime. Hence, the final cost of any civil engineering project is …

Building and construction quality: systematic literature review, thematic and gap analysis

J Yarnold, S Banihashemi, C Lemckert… - International Journal of …, 2023 - emerald.com
Purpose The purpose of this study is to examine, review and analyse the current literature
on building and construction quality and determine the related themes and gaps …

Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects

MG Meharie, WJ Mengesha, ZA Gariy… - Engineering …, 2022 - emerald.com
Purpose The purpose of this study to apply stacking ensemble machine learning algorithm
for predicting the cost of highway construction projects. Design/methodology/approach The …

Automated 4D BIM development: The resource specification and optimization approach

A Fazeli, S Banihashemi, A Hajirasouli… - Engineering …, 2022 - emerald.com
Purpose This research aims to develop an automated and optimization algorithms (OAs)-
integrated 4D building information modeling (BIM) approach and a prototype and enable …

Building Information Modelling in Hydropower Infrastructures: Design, Engineering and Management Perspectives

J Wangchuk, S Banihashemi, H Abbasianjahromi… - Infrastructures, 2024 - mdpi.com
Building Information Modelling (BIM) has emerged as a transformative force in the
construction industry, gaining traction within the hydropower sector. This study critically …

Predicting highway construction costs: comparison of the performance of random forest, neural network and support vector machine models

MG Meharie, N Shaik - Journal of Soft Computing in Civil Engineering, 2020 - jsoftcivil.com
Inaccurate cost estimates have substantial effects on the final cost of construction projects
and erode profits. Cost estimation at conceptual phase is a challenge as inadequate …

Implementation of genetic algorithm integrated with the deep neural network for estimating at completion simulation

KR Kareem Kamoona… - Advances in Civil …, 2019 - Wiley Online Library
In construction project management, there are several factors influencing the final project
cost. Among various approaches, estimate at completion (EAC) is an essential approach …

Estimate-at-completion (EAC) prediction using Archimedes optimization with adaptive fuzzy and neural networks

AA Mhady, C Budayan, AP Gurgun - Automation in Construction, 2024 - Elsevier
Construction companies estimate project costs at the beginning of the project; however,
many factors impact the final project cost. Estimate at Completion (EAC) is a critical …

ANN-based estimation model for the preconstruction cost of pavement rehabilitation projects

T Shehab, N Blampied, E Nasr… - International Journal of …, 2024 - Taylor & Francis
To combat prevalent roadway aging, the California Department of Transportation (Caltrans)
implements routine rehabilitation projects, which require cost estimation models for better …

Optimal Buyer Credit Arrangements for Chinese Procured Dam-building Projects: An Iranian Perspective

AM Mirzaee, MR Hossieni, I Martek - KSCE Journal of Civil Engineering, 2022 - Springer
Dam-building projects in Iran procured under buyer credit arrangements from foreign
providers experience high rates of construction stoppages. An understanding of the financial …