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Skip to Search Results- 6Convolutional Neural Network
- 3Deep Learning
- 3Machine Learning
- 2Artificial Intelligence
- 2Remote Sensing
- 1Adolescent Idiopathic Scoliosis
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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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Automated Rod Length Measurements on Radiographs and Sonograms in Children with Early Onset Scoliosis
DownloadFall 2024
Early Onset Scoliosis (EOS) is a medical condition that is defined as a lateral curvature of the spine with vertebral rotation in children under age 10. Approximately 2-3% of children worldwide have scoliosis. Surgical intervention is the most effective management to treat these children who have...
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Markerless Surface Topography for Adolescent Idiopathic Scoliosis Screening, Torso Aesthetic Appearance Assessment, and Postural Outcomes Evaluation
DownloadFall 2024
The primary goal of conservative treatment for adolescents with idiopathic scoliosis (AIS) is to prevent the spinal curve from worsening. Other goals of treatment are to improve aesthetic outcomes through postural correction, address respiratory dysfunction, and treat pain symptoms. The...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
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Fall 2021
This thesis applied a combination of machine learning and computer vision to an engineering research project, using a two-armed Baxter robot hardware platform. The challenge was estimating the robot arm’s joint angles from monocular camera images. After evaluating several methods from...
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Wildfire Fuel Mapping with Convolutional Neural Networks for Remote Automated Exposure Assessment
DownloadFall 2023
While beneficial to the natural environment in many cases, wildfires become hazardous when they intersect with the built environment. As such, there is an ongoing effort to understand the fire environment, the fuels it contains, and the way that wildfire interacts with the built environment. In...