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Skip to Search Results- 36Deep Learning
- 16Machine Learning
- 7Computer Vision
- 5Artificial Intelligence
- 4Recommender Systems
- 3Image Processing
- 1Aghaei, Nikoo
- 1Akbari, Mojtaba
- 1Alla, Hemanth Reddy
- 1Amini, Iman
- 1Bakhshinategh, Behdad
- 1Charles Robert Koch
- 38Graduate and Postdoctoral Studies (GPS), Faculty of
- 38Graduate 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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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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Spring 2017
A curriculum is a planned sequence of instructions or a view of the student’s experiences in terms of the educator’s or school’s instructional goals. However, the guidance provided by the curriculum is limited and both student and course counsellor struggle with the question of choosing a...
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Tailpipe NOx Emission Dataset
2023-01-01
Saeid Shahpouri,, Luo Jiang, Charles Robert Koch, Mahdi Shahbakhti
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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Fall 2017
Recommender systems are a modern solution for suggesting new items to users. One of their uses is for novel point of interest recommendation, recommending locations to a user which they have not visited. This can be applied to a location-based social network, which contains information about...
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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...