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Skip to Search Results- 49Deep Learning
- 21Machine Learning
- 9Computer Vision
- 8Artificial Intelligence
- 3Convolutional Neural Network
- 3Image Classification
- 2Shahpouri, Saeid
- 1Aghaei, Nikoo
- 1Akbari, Mojtaba
- 1Alla, Hemanth Reddy
- 1Amini, Iman
- 1Atakishiyev, Shahin
- 47Graduate and Postdoctoral Studies (GPS), Faculty of
- 47Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Concordia University of Edmonton
- 1Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 1Mechanical Engineering, Department of
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
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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 2019
There has been tremendous research progress in estimating the depth of a scene from a monocular camera image. Existing methods for single-image depth prediction are exclusively based on deep neural networks, and their training can be unsupervised using stereo image pairs, supervised using LiDAR...
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Tailpipe NOx Emission Dataset
2023-01-01
Shahpouri, Saeid, Jiang, Luo, Koch, Charles Robert, Shahbakhti, Mahdi
The dataset contains information on tailpipe NOx emissions for a heavy-duty diesel truck during real-driving conditions. The dataset includes the following columns: ambient air temperature (in degrees Celsius), vehicle speed (in km/h), engine speed (in rpm), engine torque (in N.m), fuel...
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Towards an Autonomous Robot-based Laser Cladding Repair Process: A Framework for Damage Detection, Localization and Path Planning
DownloadFall 2021
With piling scientific evidence and growing public concerns about climate change and depletion of natural resources, policymakers are being forced to implement stringent environmental regulations. One such sector under scrutiny for the concerning pace at which it is ...
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Spring 2023
Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...
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Fall 2023
The increasing popularity of Deep Neural Networks (DNN) has led to their application to many domains, including Music Generation. However, these large DNN-based models are heavily dependent on their training dataset, which means they perform poorly on musical genres that are out-of-distribution...
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Vision-assisted behavior-based construction safety: Integrating computer vision and natural language processing
DownloadFall 2023
Background: Construction sites can be hazardous places. Behavior-based safety is a method to optimize workers’ behaviors and improve site safety. Previous behavior-based safety has been criticized for their low efficiency because of manual observation. The community has conducted enormous studies...
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2022-01-01
We use plastic every day. Plastics can be found anywhere, in households and businesses. Plastic dependency has fueled the global production of plastic resins and fibers, growing at an annual compound rate of 8.4 percent. As a result, strong waste management is critical. A traditional waste...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...