[HTML][HTML] Evolution of studies in construction productivity: A systematic literature review (2006–2017)

S Dixit, SN Mandal, JV Thanikal, K Saurabh - Ain Shams engineering …, 2019 - Elsevier
The authors have attempted to summarize the evolution of research in Construction
Productivity (CP) through a Systematic Literature Review (SLR) from the papers published …

Labor productivity in the construction industry: An evaluation framework for causal relationships

S Chaturvedi, JJ Thakkar, R Shankar - … : An International Journal, 2018 - emerald.com
Purpose As the construction industry undertakes complex and innovative projects, improving
the labor productivity that helps accomplish the triple bottom line dimensions (time, schedule …

Research on predicting the productivity of cutter suction dredgers based on data mining with model stacked generalization

B Wang, S Fan, P Jiang, T Xing, Z Fang, Q Wen - Ocean Engineering, 2020 - Elsevier
To solve the problem that dredging prediction systems provide inaccurate productivity
predictions and rely heavily on mud concentration data. This paper presents a data mining …

Comparison of multi layer perceptron (MLP) and radial basis function (RBF) for construction cost estimation: the case of Turkey

S Bayram, ME Ocal, E Laptali Oral… - Journal of Civil …, 2016 - Taylor & Francis
In Turkey, for the preliminary construction cost estimation, a notice, which is updated and
published annually by Turkish Ministry of the Environment and Urbanism, known as “unit …

[PDF][PDF] A review on productivity improvement in construction industry

VJ Shinde, MN Hedaoo - International Research Journal of …, 2017 - academia.edu
The productivity level of construction industry is mostly depending upon three factors they
are labour characteristics, management systems and external issues. Different researchers …

BioPrivacy: Development of a keystroke dynamics continuous authentication system

I Stylios, A Skalkos, S Kokolakis, M Karyda - European Symposium on …, 2021 - Springer
Session authentication schemes establish the identity of the user only at the beginning of the
session, so they are vulnerable to attacks that tamper with communications after the …

A comparative study of artificial intelligent methods for explosive spalling diagnosis of hybrid fiber-reinforced ultra-high-performance concrete

JC Liu, L Huang, Z Chen, H Ye - International Journal of Civil Engineering, 2022 - Springer
Explosive spalling is a major concern to ultra-high-performance concrete at elevated
temperatures. Previous physics-based numerical models for predicting explosive spalling of …

Developing and optimizing context-specific fuzzy inference system-based construction labor productivity models

A Assefa Tsehayae… - Journal of construction …, 2016 - ascelibrary.org
Construction labor productivity (CLP) is affected by numerous context-sensitive influencing
variables made up of subjective and objective factors, practices, and work sampling …

Efficacy of estimation methods in forecasting building projects' costs

S Bayram, S Al-Jibouri - Journal of construction engineering and …, 2016 - ascelibrary.org
This paper investigates the adequacy of some nontraditional approaches to produce
realistic forecasts of the final costs of building projects and compare them with forecasts …

Modelling masonry crew productivity using two artificial neural network techniques

IH Gerek, E Erdis, G Mistikoglu… - Journal of Civil …, 2015 - Taylor & Francis
Artificial neural networks have been effectively used in various civil engineering fields,
including construction management and labour productivity. In this study, the performance of …