Now showing items 1-3 of 3
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 ...
Rough-set based learning methods: A case study to assess the relationship between the clinical delivery of cannabinoid medicine for anxiety, depression, sleep, patterns and predictability
(University of Winnipeg, 2022-08-22)
COVID-19 is an unprecedented health crisis causing a great deal of stress and mental health challenges in populations in Canada. Recently, research is emerging highlighting the potential of cannabinoids’ beneficial effects ...
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 ...