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- 2Construction Projects
- 2Deep Learning
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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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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 2021
The warm vaporized solvent injection process has been proposed as a more environmentally friendly alternative to steam-based technologies for bitumen recovery. The process typically involves injecting heated solvent vapor into a horizontal injector; the solvent condenses and dissolves into...
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Spring 2012
Engineering work can account for 10% to 20% of capital project costs, and up to 50% of a project’s schedule. The construction industry rigorously implements control techniques to minimize cost and schedule overruns; however, the same cannot be said for controlling engineering work. Over the...