Search
Skip to Search Results- 6Artificial Neural Networks
- 2Abaqus
- 2Machine Learning
- 1ANN
- 1Alkali-activated based foams
- 1Artificial Intelligence
-
Fall 2019
Cutting the pavement to install a small diameter utility network, such as flexible pipes, conduits or telecommunication lines, is a common practice in urban areas. The last 200 meters of installation is known particularly difficult to deliver, with obstacles both above and below ground to...
-
Spring 2022
How does the brain represent musical properties? Even with our growing understanding of the cognitive neuroscience of music (Abbott, 2002; Peretz and Zatorre, 2003; Peretz and Zatorre, 2005; Zatorre and McGill, 2005), the answer to this question remains unclear. One method for conceiving possible...
-
Spring 2017
In reservoir simulation studies, history matching is extensively used for uncertainty reduction and reservoir management. History matching using Ensemble Kalman Filter (EnKF) is a promising approach due to its non-iterative nature and ability to assimilate a large number of model parameters....
-
Estimating Instantaneous Fuel Consumption of Vehicles By Using Machine Learning And Real-Time On-Board Diagnostics (OBD) Data
Download2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Patel, Parth Rakeshkumar, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Estimation of instantaneous fuel consumption of fleet vehicles to identify the causes of high fuel consumption and determine the optimum vehicle type for different applications and driving cycles is essential for the design of an intelligent fleet management system. Developing a practical and...
-
Integrity Assessment of Dents in Pipelines using Finite Element Analysis and Artificial Neural Networks
DownloadFall 2019
Dents are common occurrences along oil and gas pipelines and can be formed due to pipe contact with external forces such as rocks or construction equipment. There are many factors that contribute to the level of integrity concern of a dent including its shape, size, location on the pipe, and...
-
Prediction of Horizontal In-situ Stress in Shale Gas Reservoirs Based on Artificial Neural Networks and Conventional Rock Mechanics ——A Case Study on Longmaxi Formation in Southern Sichuan (China)
DownloadFall 2022
Shale gas is one of the most important unconventional fossil fuel resources. It is usually developed by horizontal drilling and hydraulic fracturing techniques. The in-situ stress magnitude distribution in a given shale gas field is a significant factor that should be considered by horizontal...
-
Fall 2020
This thesis is offered as a step forward in our understanding of forgetting in artificial neural networks. ANNs are a learning system loosely based on our understanding of the brain and are responsible for recent breakthroughs in artificial intelligence. However, they have been reported to be...