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 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 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 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 $R_0<1$, which means that the disease-free equilibrium is globally asymptotically… more 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
