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Skip to Search Results- 9Convolutional Neural Network
- 4Machine Learning
- 3Deep Learning
- 2Artificial Intelligence
- 2Remote Sensing
- 1Additive Manufacturing
- 1Bennett, Liam
- 1Forth, J.
- 1Han, Mingjie
- 1Henein, H.
- 1Kabir, Mohammad Humayun
- 1Laura Portugal, Cristhian Felix
- 6Graduate and Postdoctoral Studies (GPS), Faculty of
- 6Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Concordia University of Edmonton
- 1Chemical and Materials Engineering, Department of
- 1Chemical and Materials Engineering, Department of/Research Articles and Materials (Chemical and Materials Engineering)
- 1Concordia University of Edmonton/Student Research Forum (Concordia University of Edmonton)
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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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Automated semantic segmentation of NiCrBSi-WC optical microscopy images using convolutional neural networks
Download2022-01-01
Rose, D., Forth, J., Henein, H., Wolfe, T., Qureshi, A.
Convolutional neural networks (CNNs) were used for the semantic segmentation of angular monocrystalline WC from NiCrBSi-WC optical microscopy images. This deep learning approach was able to emulate the laborious task of manual segmentation effectively, with a mean intersection over union (IOU)...
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Evaluation and development of artificial intelligence tools to assess COVID-19 Severe Acute Respiratory Syndrome from chest imaging
Download2021-04-16
Most attention has been paid to chest Computed Tomography (CT) in this burgeoning crisis because many cases of COVID-19 demonstrate respiratory illness clinically resembling viral pneumonia which persist prominent visual signatures on high-resolution CT befitting of viruses that damage lungs....
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2022
Falling events are the leading cause of fatal and non-fatal injuries among elderly, and without timely medical care people unable to recover by themselves, it may mean suffering from serious consequences. Designing reliable fall detection systems may help reduce the time for a person to receive...
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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...