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Skip to Search Results- 5Deep Learning
- 3Machine Learning
- 2Construction Projects
- 2Forecasting
- 1 crane operations
- 1Artificial Intelligence
- 2Hammad, Ahmed (Civil and Environmental Engineering)
- 1Ahmed, Bouferguene (Campus Saint-Jean - Academic Support)
- 1Al-Hussein, Mohamed (Civil and Environmental Engineering)
- 1Apel, Derek (Civil and Environmental Engineering)
- 1Bouferguene, Ahmed (Civil and Environmental Engineering)
- 1Hall, Robert (Civil and Environmental Engineering)
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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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Application of Data Mining Techniques for Fault Diagnosis and Prognosis of High Pressure Fuel Pump Failures in Mining Haul Trucks
DownloadFall 2021
Mining companies are investing in fewer but larger equipment, and downtime associated with larger equipment now represents a higher percentage of operational capacity loss. Thus, it is essential to frequently and accurately monitor the health of this equipment to avoid unscheduled breakdowns and...
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Multimodal Hand Signal and Speech Communication Classification Framework for the Construction Industry: The Case of Communication between Crane Signalman and Crane Operator
DownloadFall 2023
On construction sites, communication is key to boosting teamwork and improving worker performance. It allows workers to coordinate their activities, share information, and respond to potential hazards quickly and efficiently. In current practice, workers on construction sites typically rely on...
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Vision-assisted behavior-based construction safety: Integrating computer vision and natural language processing
DownloadFall 2023
Background: Construction sites can be hazardous places. Behavior-based safety is a method to optimize workers’ behaviors and improve site safety. Previous behavior-based safety has been criticized for their low efficiency because of manual observation. The community has conducted enormous studies...