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- 9Image processing
- 2Image analysis
- 2Machine learning
- 2Tensor product
- 13D structure prediction
- 1 Ahmed Bouferguene, Professor, Campus Saint-Jean - Academic Support
- 1Amirfazli, Alidad (Mechanical Engineering)
- 1Backhouse, Christopher J. (Electrical and Computer Engineering)
- 1Brown, Matthew R.G. (Psychiatry)
- 1Greiner, Russell (Computing Science)
- 1Han, Bin (Mathematical and Statistical Sciences)
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...
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...
This thesis concentrates on the construction of directional tensor product complex tight framelets. It uses a complex tight framelet filter bank in one dimension and the tensor product of the one-dimensional filter bank to obtain high-dimensional filter bank. It has a number of advantages over...
It is well known that most information of an image is contained in its edges. Therefore capturing edges in an image is of fundamental importance in image processing. Tensor product real-valued wavelets only capture edges along the horizontal and vertical direc- tions. Hence they are only...
Development of a Novel Electro-thermal Anti-icing System for Fiber-reinforced Polymer Composite AirfoilsDownload
Given the trend towards expanded use of polymeric composites for wind turbine blades and aircrafts wing, icing of polymer composite airfoils is a challenge; this thesis is addressing this issue from a conceptual perspective. For the first time, the concept of embedded thermal elements as an...
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...