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Skip to Search Results- 3Hasan, Md Monjurul
- 3Yu, Miao
- 2Afifi, Mona
- 2Altaf, Mohammed Sadiq
- 2Alwisy, Aladdin
- 2Barkokebas, Beda
- 35Al-Hussein, Mohamed (Civil and Environmental Engineering)
- 26Deutsch, Clayton (Civil and Environmental Engineering)
- 23AbouRizk, Simaan (Civil and Environmental Engineering)
- 23Chalaturnyk, Rick (Civil and Environmental Engineering)
- 22Liu, Yang (Civil and Environmental Engineering)
- 18Bayat, Alireza (Civil and Environmental Engineering)
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Fall 2023
Statistical Shape Models (SSMs) describe the shape variation in a family of similar objects in a computational format. An example of a shape family is the periphery of a specific bone for different individuals. SSMs have diverse applications in computer vision and medicine. In orthopaedics, SSMs...
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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Artificial Neural Network Model for Analysis of In-Plane Shear Strength of Partially Grouted Masonry Shear Walls
DownloadSpring 2018
The behaviour of partially grouted (PG) masonry shear walls is complex, due to the inherent anisotropic properties of masonry materials and nonlinear interactions between the mortar, blocks, grouted cells, ungrouted cells, and reinforcing steel. Since PG shear walls are often part of lateral...