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Skip to Search Results- 13Image processing
- 8Interpolation
- 3Directionality
- 2Computer vision
- 2Image analysis
- 2Machine learning
- 1Bokhari, Muhammad Ashfaq.
- 1Cai,Xinli
- 1Che, Menglu
- 1Kalke, Hayden E
- 1Karabij, Mohamed
- 1Krishnan, Kalpagam.
- 3Department of Civil and Environmental Engineering
- 3Department of Mathematical and Statistical Sciences
- 3Department of Physics
- 2Department of Computing Science
- 2Department of Electrical Engineering
- 2Department of Electrical and Computer Engineering
- 2Sacchi, Mauricio (Physics)
- 1 Ahmed Bouferguene, Professor, Campus Saint-Jean - Academic Support
- 1Amirfazli, Alidad (Mechanical Engineering)
- 1Backhouse, Christopher J. (Electrical and Computer Engineering)
- 1Bin Han (Mathematical and Statistical Sciences)
- 1Brown, Matthew R.G. (Psychiatry)
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Spring 2024
Multi-phase jet in crossflow (MJC) garnered significant attention across a range of applications, including artificial aeration in oceans, lakes, and rivers. As of yet, the vast majority of the MJC literature focuses on pure gas or solid injection into crossflow, and limited studies pay attention...
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Spring 2021
Municipal drainage systems have a key role in public health and are considered one of the main components of every modern city's infrastructure. However, as the drainage system ages, its pipes gradually deteriorate at rates that vary based on the different conditions of utilization. To prevent...
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Improved Forest Fire Danger Rating Using Regression Kriging with the Canadian Precipitation Analysis (CaPA) System in Alberta
DownloadFall 2017
Estimating precipitation is currently one of the key challenges of accurate Fire Danger Rating. New gridded precipitation analysis systems such as the Canadian Precipitation Analysis System (CaPA) may be superior to the current analytical interpolation strategies, thin plate spline (TPS), and...
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Fall 2010
In Chapters 1 and 2, we introduce the definition of interpolating refinable function vectors in dimension one and high dimensions, characterize such interpolating refinable function vectors in terms of their masks, and derive their sum rule structure explicitly. We study biorthogonal refinable...
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Fall 2009
Logistic and economic constraints often dictate the spatial sampling of a seismic survey. The process of acquisition records a finite number of spatial samples of the continuous wave field. The latter leads to a regular or irregular distribution of seismograms. Seismic reconstruction methods are...
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Spring 2024
In the process industry, certain quality variables cannot be measured regularly due to technical limitations or economic constraints. Consequently, the industry relies on laboratory analysis to measure such quality variables. However, laboratory analysis introduces long time-delays in obtaining...
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Fall 2017
The importance of anchor ice transport of sediment on a river is significantly understudied. This study addresses the lack of data related to anchor ice release and rafting. A large sample set of anchor ice was collected in the field over the 2015-2016 and 2016-2017 winter seasons to compute a...
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The Singular Spectrum Analysis method and its application to seismic data denoising and reconstruction
DownloadFall 2010
Attenuating random and coherent noise is an important part of seismic data processing. Successful removal results in an enhanced image of the subsurface geology, which facilitate economical decisions in hydrocarbon exploration. This motivates the search for new and more efficient techniques for...
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Fall 2023
The recognition performance of Optical Character Recognition (OCR) models can be sub-optimal when document images suffer from various degradations. Supervised learning-based methods for image enhancement can generate high-quality enhanced images. However, these methods require the availability of...