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Skip to Search Results- 2Atai, Ali Asghar.
- 2Belay, Tsegay
- 2Bhaduri,Swayamdipta
- 2Brenneis, Dylan
- 2Carrigy, Nicholas B.
- 2Chanda, Sourayon
- 1200Department of Mechanical Engineering
- 5Department of Biomedical Engineering
- 2Department of Mathematical and Statistical Sciences
- 1Department of Chemical & Materials Engineering and Department of Mechanical Engineering
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Results for "departments_tesim:"Department of Mechanical Engineering""
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Fall 2010
Oil sand deposits are found at three depths; shallow, intermediate, and deep. Shallow deposits are processed by surface mining while deep deposits are processed using thermal extraction methods. There are currently no production methods to extract oil sand at intermediate depths. The...
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A conceptual framework for real-time adaptive supply chain systems based on Internet of Things (IoT)
DownloadSpring 2018
Supply chain (SC) systems are often subject to high operational dynamics due to the large number of resources involved, frequent interaction between them, exhaustive human participation and timely decisions being made. This dynamic nature of SCs can be organized more efficiently by adopting...
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Spring 2011
The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANN). Re-searchers have proposed randomized data partitioning (RDP) and stratified data partitioning (SDP) methods for partition of input data...
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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...