[HTML][HTML] Evolution of studies in construction productivity: A systematic literature review (2006–2017)
The authors have attempted to summarize the evolution of research in Construction
Productivity (CP) through a Systematic Literature Review (SLR) from the papers published …
Productivity (CP) through a Systematic Literature Review (SLR) from the papers published …
Artificial neural networks for construction management: a review
Construction Management (CM) has to deal with a variety of uncertainties related to Time,
Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction …
Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction …
Applying artificial neural networks for measuring and predicting construction-labor productivity
G Heravi, E Eslamdoost - Journal of Construction Engineering and …, 2015 - ascelibrary.org
Variations in labor productivity are the result of multiple influential factors. This paper
attempts to develop a labor productivity model based on multilayer feedforward neural …
attempts to develop a labor productivity model based on multilayer feedforward neural …
Application of artificial neural network (s) in predicting formwork labour productivity
S Golnaraghi, Z Zangenehmadar… - Advances in Civil …, 2019 - Wiley Online Library
Productivity is described as the quantitative measure between the number of resources used
and the output produced, generally referred to man‐hours required to produce the final …
and the output produced, generally referred to man‐hours required to produce the final …
Fuzzy adaptive jellyfish search-optimized stacking machine learning for engineering planning and design
This paper presents a novel fuzzy adaptive jellyfish search-optimized stacking system (FAJS-
SS) that integrates the jellyfish search (JS) optimizer, the fuzzy adaptive (FA) logic controller …
SS) that integrates the jellyfish search (JS) optimizer, the fuzzy adaptive (FA) logic controller …
Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine
Productivity is one of the crucial elements for managing construction operations effectively
which directly impacts on general cost and time of a project. The accurate prediction of …
which directly impacts on general cost and time of a project. The accurate prediction of …
Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity
I Karatas, A Budak - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose The study is aimed to compare the prediction success of basic machine learning
and ensemble machine learning models and accordingly create novel prediction models by …
and ensemble machine learning models and accordingly create novel prediction models by …
Predicting the construction labour productivity using artificial neural network and grasshopper optimisation algorithm
P Goodarzizad, E Mohammadi Golafshani… - International Journal …, 2023 - Taylor & Francis
The construction industry is mainly dependent on human resources, and labour costs are
significant. Although many researchers have investigated construction labour productivity …
significant. Although many researchers have investigated construction labour productivity …
An integrated simulation and optimization approach for reducing CO2 emissions from on-site construction process in cold regions
Carbon dioxide (CO 2) reduction has obtained worldwide attention due to the global
warming effects and the mitigating means such as carbon tax. Among the CO 2 emission …
warming effects and the mitigating means such as carbon tax. Among the CO 2 emission …
Framework for identifying competencies of construction workers
S Johari, K Neeraj Jha - Journal of Construction Engineering and …, 2021 - ascelibrary.org
Any occupation requires a certain set of competencies at a given employment level.
Although in the construction industry the competency requirements for mid-and upper-level …
Although in the construction industry the competency requirements for mid-and upper-level …