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Now showing items 11-20 of 45
N-Dimensional Polynomial Neural Networks and their Applications
(University of Winnipeg, 2022-04-06)
In addition to being extremely non-linear, modern machine learning problems require millions
if not billions of parameters to solve or at least to get a good approximation of the solution,
and neural networks are known ...
Long-Range Dispersal Behaviour and Spatial Distribution Modelling of Adult Mosquitoes in the Winnipeg Region
(University of Winnipeg, 2020-12-15)
Mosquitoes are present in virtually every nation worldwide, acting as both a vector for many serious pathogens, and as a nuisance because of their blood-feeding behaviours. As a principle of Integrated Mosquito Management ...
Using Machine Learning to Improve Neutron Tagging Efficiency in Water Cherenkov Detectors
(University of Winnipeg, 2021-11-25)
When an anti-neutrino collides with a proton in the atomic nucleus, it yields an anti-lepton and a free neutron. In a water Cherenkov neutrino detector like Super-K or the next generation Hyper-K, the free neutron is ...
“Weaponized sexuality” to the normalization of sexual violence: Rape culture and the non-consensual distribution of intimate imagery (NCDII)
(University of Winnipeg, 2022-08-22)
This thesis research explores the non-consensual distribution of intimate imagery (NCDII), a form of technology-facilitated sexual violence. NCDII is the digital sharing of sexualized visual content of another person, ...
3D Convolutional Neural Networks for Solving Complex Digital Agriculture and Medical Imaging Problems
(University of Winnipe, 2022-06)
3D signals have become widely popular in view of the advantage they provide via 3D representations of data by employing a third spatial or temporal dimension to extend 2D signals. Predominantly, 3D signals contain details ...
Exploring Deep Neural Networks for Plant Image Classification
(University of Winnipeg, 2022-04)
Automatically distinguishing different types of plant images is a challenging problem relevant to both Botany and Computer Science disciplines. Plant identification at the species level is a computer vision task called ...
Endangered Oarisma poweshiek butterfly larval foraging and adult habitat interactions in Manitoba, Canada
(University of Winnipeg, 2021-10-29)
The Poweshiek skipperling (Oarisma poweshiek) is endemic to the tall grass prairie in North America, and is now critically endangered globally. Existing populations are scattered amongst tall grass prairie remnants. However, ...
Chief Paskwa’s Pictograph: Revisiting Treaty Four Through an Anishinaabe Philosophy
(University of Winnipeg, 2020-02-23)
This research provides an understanding of Treaty Four 1874 through an Anishinaabe philosophy using Anishinaabe (Ojibway) research methods. Prior research conducted has been done by primarily non-Anishinaabeg, therefore, ...
ka pamihiwehk mino pimatisiwin: kichi ininiw ahkosowinow kakiskaocik ahkosowinow HIV (Promoting mino pimatisiwin: Urban Aboriginal Women Living with HIV)
(University of Winnipeg, 2021-08-25)
This research projects examine the impact of HIV among urban Aboriginal women living with HIV in Winnipeg, Manitoba. Despite the antiretroviral tereatment and HIV prevention strategies, new HIV positive cases for urban ...
Unsupervised Domain Adaptation using Satellite Images for Significantly Different Infrastructure Objects
(University of Winnipeg, 2022-03-28)
Deep learning has become one of the most efficient computer vision tools in recent years. The success and variety of deep learning semantic segmentation models inspired scientists in the remote sensing domain to apply them ...