Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Cost estimation in road construction using artificial neural network
Road construction projects on the territory of the Republic of Croatia are characterized by
the overrun of planned costs. The experience of the contractor on previous road projects is …
the overrun of planned costs. The experience of the contractor on previous road projects is …
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 …
project's safety, and reliability. Many studies have been proposed to explore the potential …
Conceptual cost estimation of highway bid items–A systematic literature review
Purpose Challenges associated with ensuring the accuracy and reliability of cost estimation
of highway construction bid items are of significant interest to state highway transportation …
of highway construction bid items are of significant interest to state highway transportation …
A hybrid approach for a cost estimate of residential buildings in Egypt at the early stage
M Badawy - Asian Journal of Civil Engineering, 2020 - Springer
Owners need clear information about the cost at the early stage, while information about
drawings and designs are limited in this stage. The purpose of this research is to propose a …
drawings and designs are limited in this stage. The purpose of this research is to propose a …
Cost prediction for roads construction using machine learning models
Sažetak Predicting conceptual costs is among the essential criteria in project decision-
making at the early stages of civil engineering disciplines. The cost estimation model …
making at the early stages of civil engineering disciplines. The cost estimation model …
Research on construction engineering quality management based on building information model and computer big data mining
H Sun, L Wang, Z Yang, J **e - Arabian Journal for Science and …, 2021 - Springer
Data mining-based scenarios in construction engineering management have become the
mainstream, but in the actual application process, big data mining is still affected by many …
mainstream, but in the actual application process, big data mining is still affected by many …
Construction cost estimation model and dynamic management control analysis based on artificial intelligence
Z Yi, X Luo - Iranian Journal of Science and Technology …, 2024 - Springer
Construction cost estimation is affected by a wide range of variables, including the area,
type, duration, scheduling, and level of recycling of materials, in addition to the customary …
type, duration, scheduling, and level of recycling of materials, in addition to the customary …
A cost estimation recommendation system for improved contingency management in construction projects
Management of contingency reserves involves identifying and prioritizing potential high-cost
impact events, serving as a cushion for absorbing the financial risks of projects. Machine …
impact events, serving as a cushion for absorbing the financial risks of projects. Machine …
Operation and Economic Analysis for Ring Road: Baqubah City as Case Study
Many cities in Diyala governorate are suffering from traffic congestion due to high
percentage of through traffic. One of the most applicable solutions to such problem is the …
percentage of through traffic. One of the most applicable solutions to such problem is the …
A taxonomy of machine learning techniques for construction cost estimation
P Karadimos, L Anthopoulos - Innovative Infrastructure Solutions, 2024 - Springer
Construction projects require significant funding and are exposed to several risks. Public
construction projects require a major proportion of the annual government budget. Their …
construction projects require a major proportion of the annual government budget. Their …