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Now showing items 61-70 of 75
Short Text Classification with Tolerance Near Sets
(University of Winnipeg, 2021-08-13)
Text classification is a classical machine learning application in Natural Language Processing, which aims to assign labels to textual units such as documents, sentences, paragraphs, and queries. Applications of text ...
A Survivor’s Narrative of Institutional Harms Experienced in Manitoba Developmental Centre and Prisons in Canada
(University of Winnipeg, 2023-08-17)
This thesis is a case study that looks at the life story of a Black man, Dwight, who had been institutionalized at the Manitoba Developmental Centre (MDC) at the age of eleven in 1967 for three years. Dwight alleges that ...
Mathematical Modelling and Validation of Mitogenic Signaling Pathway in Breast Cancer
(University of Winnipeg, 2023-09-18)
Applied Mathematics is becoming an integral part of predicting disease progression, including cancers. Mathematical models can be used to test novel hypotheses, develop optimized treatments schema and personalised therapies, ...
Securing Federated Learning Model Aggregation Against Poisoning Attacks via Credit-Based Client Selection
(University of Winnipeg, 2023-08-29)
Federated Learning (FL) has emerged as a revolutionary paradigm in the field of machine learning, enabling multiple participants to collaboratively train models without compromising the privacy of their individual training ...
GPU-Accelerated Algorithm to Compute Bessel-Fourier Moments
(University of Winnipeg, 2020-03)
Bessel-Fourier moments have been applied in image pattern reconstruction since their introduction in 2010. In this research, a scalable GPU-based algorithm is proposed to accelerate the computation of Bessel-Fourier moments ...
A study on the modeling for obesity
(University of Winnipeg, 2021-12-03)
This study primarily aims to develop an Agent Based Model (ABM) that can simulate the obesity rates based on statistical analysis and to find out how obesity is affected by risk factors in a Canadian environment. As obesity ...
Anishinaabekwewag Teachings of Self-Determination
(University of Winnipeg, 2020-08-12)
Since being excluded from decolonization efforts in the mid-twentieth century on the grounds that they were not colonized peoples but minorities living within sovereign states, Indigenous peoples have called for a broader ...
Resolving Stock Structure of Sauger (Sander canadensis) in Manitoba, Canada using Biometric, Isotopic, and Genetic Approaches
(University of Winnipeg, 2023-12-06)
Many sauger (Sander canadensis) populations in Manitoba have declined in numbers and biomass. Fisheries managers have proposed a province-wide sauger management plan to protect and restore sauger populations, but they are ...
Automated Deep Neural Network Approach for Detection of Epileptic Seizures
(University of Winnipeg, 2021-12-09)
In this thesis, I focus on exploiting electroencephalography (EEG) signals for early seizure diagnosis in patients. This process is based on a powerful deep learning algorithm for times series data called Long Short-Term ...
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 ...