Theses and Dissertations

This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.

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Results for "Probability Distributions on a Circle"

  • Spring 2021

    You, Jihao

    study. In the first study, the model could only be used to identify daily oviposition events on the subsequent day and the prediction outputs were binary labels. An ANN model was used to predict and output the probability of daily oviposition events occurring using a specific time point in one day. The

    oviposition events on the current day, and the output was a probability that could be informative to indicate how likely oviposition of an individual breeder occurred in the day. In situations where total egg production was known for a group, the ANN model could predict the probability of daily oviposition

    system and make predictions based on the information. The first study investigated predicting daily oviposition events of individual broiler breeders by a random forest (RF) classification model. The raw dataset from the PF system was processed for 34 features in relation to the feeding activity and body

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