Probabilistic forecasting of construction labor productivity metrics
This study investigates the possibility of doing probabilistic forecasting of construction labor
productivity metrics for both long-term and short-term estimates. The research aims to …
productivity metrics for both long-term and short-term estimates. The research aims to …
Enhanced model tree for quantifying output variances due to random data sampling: Productivity prediction applications
The data used for productivity modeling represents a sample of a company's performance
taken at a particular time, which leads to varying model parameters and results in a variance …
taken at a particular time, which leads to varying model parameters and results in a variance …
Identifying the Factors Impacting Bridge Deterioration in the Gulf Cooperation Council
R Al-Rashed, A Abdelfatah, S Yehia - Designs, 2023 - mdpi.com
The deterioration module (DM) is one of the four major modules necessary for any bridge
management system (BMS). Environmental conditions, structural systems, bridge …
management system (BMS). Environmental conditions, structural systems, bridge …
[PDF][PDF] Hybrid feature selection framework for predicting bridge deck conditions.
A Omar, O Moselhi - Journal of Information Technology in Construction, 2022 - itcon.org
Bridge decks' maintenance funding requirements are influenced by bridge decks' current
and predicted future conditions. Additionally, the serviceability of bridges may be negatively …
and predicted future conditions. Additionally, the serviceability of bridges may be negatively …
Analytical Approaches for Predicting Variance in Construction Productivity using Regression Methods
MM Hasan - 2023 - era.library.ualberta.ca
Modeling productivity entails establishing the relationship between various factors that
impact construction productivity, connecting input factors with output productivity. While …
impact construction productivity, connecting input factors with output productivity. While …
[PDF][PDF] International Journal of Artificial Intelligence and Machine Learning
NOC Victor - 2023 - svedbergopen.com
The construction industry plays a vital role in the global economy but grapples with
inefficiencies in electrical and electronics engineering projects, resulting in delays …
inefficiencies in electrical and electronics engineering projects, resulting in delays …
Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects
NOC Victor - 2023 - preprints.org
The construction enterprise is a essential zone that contributes considerably to the
worldwide financial system. but it faces numerous challenges, together with inefficiency in …
worldwide financial system. but it faces numerous challenges, together with inefficiency in …
[PDF][PDF] A Principal Component Analysis Algorithm for Seed Enterprise Financial Performance and Scientific and Technological Innovation
P Brundavani - Journal of Computer Allied Intelligence, 2024 - fringeglobal.com
The correlation between scientific and technological innovation and the financial
performance of seed enterprises is a critical area of study in the realm of entrepreneurship …
performance of seed enterprises is a critical area of study in the realm of entrepreneurship …
[PDF][PDF] PROBABILISTIC FORECASTING OF CONSTRUCTION LABOR PRODUCTIVITY METRICS
This study investigates the possibility of doing probabilistic forecasting of construction labor
productivity metrics for both long-term and short-term estimates. The research aims to …
productivity metrics for both long-term and short-term estimates. The research aims to …