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A Deep Learning Approach for Forecasting Cost Estimate at Completion (EAC) in Construction Projects
DownloadFall 2024
Inaccurate cost forecasting is a significant issue that can lead to potential budget overruns, cash flow problems, poor stakeholder relationships, and financial losses for construction execution companies. To improve cost forecasting accuracy, this research proposes a deep-learning framework...
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Fall 2024
Laura Portugal, Cristhian Felix
Accurate forecasting of project duration is crucial during the execution phase as it affects its overall performance, timely decision-making, identification of potential delays, and resource allocation. This research proposes a proof of concept based on artificial intelligence, specifically using...
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Spring 2015
Earth moving projects are commonly involved in the construction industry for tasks such as road construction, pipeline installation, surface mining, and so on. All the operations in earth moving projects are completed by a fleet of different construction equipment. Since earth moving projects...
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A Decision Support System (DSS) to Select the most Sustainable Alternative to Deal with Buildings with Unacceptable Conditions
DownloadFall 2024
The gradual development of the construction sector is worsening environmental deterioration and causing an unsustainable rise in resource use, further complicating the industry's long-term issues. An important facet of this matter is the present strategy for handling antiquated structures,...
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A decision support framework for concurrent multi-DFX implementation to optimize the machine design process
DownloadSpring 2019
Industry 4.0 has sparked rapid changes in the manufacturing and construction sectors, leading to a major shift in how prefab construction machines are designed and manufactured in a concurrent engineering environment. Design for X (DFX) is one of the most effective methods for implementing in...
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A day in the life of a Health Care Aide: Frontline perspectives on when, where, and how information and communication technologies could be helpful
DownloadFall 2012
Background: The purpose of this focused ethnographic study was to gather a firsthand account of a day on the life of a Health Care Aide (HCA) in rural Alberta to see when, where, and how information and communication technologies (ICTs) could help support their work. Methods: Four HCAs working...
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A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
DownloadSpring 2023
In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...