Trent University Graduate Thesis Collection

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    tula:etd
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    1 item
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    Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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    Comparative Analysis of Financial Distress Prediction Models: Evidence from African Industries

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Ackuayi, Stephen Makafui, Thesis advisor (ths): Cater, Bruce, Thesis advisor (ths): Parker, James, Degree committee member (dgc): Cater, Bruce, Degree committee member (dgc): Parker, James, Degree committee member (dgc): Pollanen, Marco, Degree committee member (dgc): Kam, Eric, Degree granting institution (dgg): Trent University
    Abstract: <p>Accurately forecasting financial distress in companies is crucial in the turbulent economic conditions of our time. This study highlights the potential benefits of incorporating qualitative data into financial distress prediction models. The study assessed the relative effectiveness of traditional distress prediction models against integrated models, determined which variables… more

    Modeling and Clustering of Climate Change Variables in Canada

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Adenuga, Alex, Thesis advisor (ths): Burr, Wesley, Degree committee member (dgc): Shin, Hwashin H, Degree committee member (dgc): Takahara, Glen, Degree granting institution (dgg): Trent University
    Abstract: <p>Climate change is a global challenge with profound environmental, health, andsocio-economic implications. Canada's diverse geography offers a unique lens to study
    localized climate trends. This thesis models and clusters climate variables, focusing
    on temperature trends, using Bayesian hierarchical models and clustering techniques
    to uncover regional patterns and health impacts.… more

    Optimized Large Language Model for Hate Speech Detection

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Obinwanne, Uchechukwu Emmanuel, Thesis advisor (ths): Feng, Wenying, Degree committee member (dgc): Alam, Omar, Degree committee member (dgc): Xu, Simon, Degree committee member (dgc): Parker, James, Degree granting institution (dgg): Trent University
    Abstract: <p>Recent developments in Artificial Intelligence (AI), particularly Large Language Models (LLMs), have provided powerful tools for Natural Language Processing (NLP) tasks like sentiment analysis. However, their fine-tuning and deployment present challenges, specifically in terms of computational efficiency and high training costs. To address these challenges, this work applies optimization… more

    Performance of Time Series Interpolation Algorithms in the Presence of Noise

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Niksefat, Roxana, Thesis advisor (ths): Burr, Wesley Dr, Degree granting institution (dgg): Trent University
    Abstract: <p>The spectral properties of time series data reveal underlying processes but require complete datasets, often unavailable due to missing values and irregular sampling.This thesis uses a computational simulations framework to evaluate the perfor- mance of the Hybrid Wiener Interpolator [3], a novel method designed to reconstruct nonstationary time series data, thus making said data… more

    Development of Models for Air Pollution-Related Public Health Assessment: Application of Long Short-Term Memory Neural Network for Short-term Exposure Effect

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Han, Huawei, Thesis advisor (ths): Burr, Wesley, Degree committee member (dgc): Parker, James, Degree committee member (dgc): Shin, Hwashin, Degree committee member (dgc): Chan-Reynolds, Michael, Degree granting institution (dgg): Trent University
    Abstract: <p>This thesis develops an Long Short-Term Memory (LSTM) neural network model to assess the relationship between ambient air pollutant exposure and public health risks, accommodating both linear and nonlinear associations with distributed lags.The research makes three key contributions. First, Maximal Information Coefficient (MIC) methods identify the most relevant air pollutants and their… more

    Psychometric Properties of a Short Coping Measure: An Investigation of the Coping Inventory for Stressful Situations – Short Form (CISS-SF)

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Van Elswyk, Amy, Thesis advisor (ths): Parker, James D. A., Thesis advisor (ths): Summerfeldt, Laura J., Degree committee member (dgc): Parker, James D. A., Degree committee member (dgc): Summerfeldt, Laura J., Degree granting institution (dgg): Trent University
    Abstract: <p>Objective: The Coping Inventory for Stressful Situations (CISS) is a widely used measure of trait coping that was developed to assess three basic coping styles: task-oriented, emotion-oriented, and avoidance-oriented coping. This thesis examined the psychometric properties of a short form for the CISS (CISS-SF). Method: Data from a large longitudinal sample of adults were used to conduct… more

    Modelling Cholera Transmission with Delayed Bacterial Shedding and Disinfection Control

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Urmee, Farjana Zaman, Thesis advisor (ths): Abdella, Kenzu, Thesis advisor (ths): Wang, Xiaoying, Degree committee member (dgc): Parker, James, Degree committee member (dgc): Shu, Hongying, Degree granting institution (dgg): Trent University
    Abstract: <p>This study focuses on the world dynamics of a cholera model that includes delayed bacterial shedding and water disinfection. From the method of the next generation matrix, a basic reproduction number is found that sets a threshold of disease persistence. It is shown that the disease disappears if $R_0&lt;1$, which means that the disease-free equilibrium is globally asymptotically… more

    A two-stage hybrid deep learning framework with reinforce-learned temporal dilated convolutions for predicting vehicle left-turn speed at pedestrian crossings

    Year: 2025, 2025
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Attarwala, Hamza, Thesis advisor (ths): Rahman, Quazi, Thesis advisor (ths): Tawfeek, Mostafa, Degree committee member (dgc): Ghaleb, Taher, Degree committee member (dgc): Asaduzzaman, Muhammad, Degree committee member (dgc): Parker, James, Degree granting institution (dgg): Trent University
    Abstract: <p>Predicting vehicle speed at critical road segments, such as pedestrian crossings during left-turn maneuvers at signalized intersections, is essential for improving traffic safety and supporting autonomous driving systems. This thesis presents a novel two-stage hybrid deep learning framework enhanced with reinforcement learning to forecast vehicle left-turn speed at pedestrian crossings.… more