Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …

A review of methods, techniques and tools for project planning and control

R Pellerin, N Perrier - International Journal of Production Research, 2019 - Taylor & Francis
The purpose of this article is to provide a brief review of methods and techniques developed
for the most commonly studied decision-making problems in project planning and control …

The impact of entrepreneurship orientation on project performance: A machine learning approach

S Sabahi, MM Parast - International Journal of Production Economics, 2020 - Elsevier
Recent studies in project management have shown the important role of entrepreneurship
orientation of the individuals in project performance. Although identifying the role of …

Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model

Y Su, J Li, B Yu, Y Zhao, J Yao - Reliability Engineering & System Safety, 2021 - Elsevier
Determining the failure pressure of defective pipelines is an important part in pipeline
reliability engineering, which affects the assessment of pipelines residual service life. In this …

Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models

YR Wang, CY Yu, HH Chan - International Journal of Project Management, 2012 - Elsevier
It is commonly perceived that how well the planning is performed during the early stage will
have significant impact on final project outcome. This paper outlines the development of …

Integration of cost and work breakdown structures in the management of construction projects

A Cerezo-Narváez, A Pastor-Fernández… - Applied sciences, 2020 - mdpi.com
Scope management allows project managers to react when a project underperforms
regarding schedule, budget, and/or quality at the execution stage. Scope management can …

Application of artificial neural networks in construction management: a scientometric review

H Xu, R Chang, M Pan, H Li, S Liu, RJ Webber, J Zuo… - Buildings, 2022 - mdpi.com
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Neural network model for the prediction of safe work behavior in construction projects

DA Patel, KN Jha - Journal of construction engineering and …, 2015 - ascelibrary.org
A model has been developed employing an artificial neural network (ANN) to predict the
safe work behavior of employees using 10 safety climate constructs determined through …

Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete

GU Alaneme, KA Olonade, E Esenogho - SN Applied Sciences, 2023 - Springer
The need to employ technology that replaces traditional engineering methods which
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …

A decision support framework for robust R&D budget allocation using machine learning and optimization

H Jang - Decision Support Systems, 2019 - Elsevier
Considering that government funding agencies make decisions on research and
development (R&D) budget allocation to support an increasing number of research …