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Skip to Search Results- 1Johnstonbaugh, Kerrick
- 1Kostic, Branislav Z
- 1Li, Teng
- 1Rozan Chahardoli
- 1Saman Dehghanbanadaki
- 1Shojaee, Seyedamir
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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...
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A Framework for Vibration based Damage Detection of Bridges under Varying Temperature Effects using Artificial Neural Networks and Time Series Analysis
DownloadFall 2015
Structural Health Monitoring (SHM) has become a very important area in civil engineering for evaluating the performance of critical civil infrastructure systems such as bridges. One of the most important issues with continuous SHM is the environmental effects (such as temperature, humidity, wind)...
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Spring 2023
Choosing an appropriate action representation is an integral part of solving robotic manipulation problems. Published approaches include latent action models, which train context-conditioned neural networks to map lowdimensional latent actions to high-dimensional actuation commands. Such models...
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Spring 2022
Artificial Neural Network (ANN) has gained great interest in industrial applications due to their supremacy in modelling complex process behaviour. Applications of ANN include process modelling, optimization and fault diagnosis. However, pure data-driven approaches that use only observations to...
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Fall 2024
Robot-assisted arthroscopic surgery has been receiving growing attention in the field of orthopedic surgery. Most of the existing robot-assisted surgical systems in orthopedics take more focus on open surgery than minimally invasive surgery (MIS). In traditional arthroscopic surgery, a specific...
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Spring 2018
Semantic segmentation is about classifying every pixel in an image. In recent years, methods based on Fully Convolutional Networks (FCN) have dominated this field in terms of segmentation accuracy. We are interested in tackling the challenges that these methods are faced with. First, it is...
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Fall 2019
Relation Extraction, which is defined as the detection of existing relations between a pair of entities in a sentence, has received a large interest lately, including more recent work on using neural methods. Since neural systems need a large number of annotated sentences to build effective...