Examining the construction of masculinity in K-Dramas within a global context

This research project analyzes how South Korean TV dramas, particularly King the Land (2023), portray masculinity and why these representations appeal to Western audiences like those in Canada and Brazil. By studying cinematic techniques and cultural themes, the project aims to understand how these dramas shape global perceptions of South Korean men and culture. The […]

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L2M – AutoSAR: Autonomous UAV Search and Rescue Using Deep Learning for Emergency Response in Remote and Infrastructure-Free Regions.

In remote and rural regions, where communication infrastructure is sparse and GPS is unreliable, emergency Search and Rescue (SAR) operations should be fast, reliable, and cost-effective. Existing technologies, such as thermal imaging and mobile-based systems like Cellular Airborne Sensor for Search and Rescue (CASSAR), depend on costly sensors, human interpretation, or the presence of a […]

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Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing

Agriculture must meet the needs of the continuously growing world population. To this end, sustainable strategies that improve resource use efficiency (human, fuel, water, herbicides, pesticides, and fertilizers), reduce inputs and environmental impacts, and sensing methodologies that provide actionable information are in demand. This research will increase the potential for collecting high-quality data in the […]

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Biomolecular characterization of micro-organisms associated with the rhizosphere of five economically important Andean crops as an assessment of soil health and productivity

The project has five steps: 1. Identification of the microbiota associated with the rhizosphere of five economically important crops in the province of Chimborazo, Ecuador; 2. Isolate and select micro-organism strains that are likely to contribute efficiently to the development of the crops; 3. Using field trials, determine the efficiency of the selected micro-orgranisms; 4. […]

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Assessing Content Authenticity Through Data-Driven Studies and Visual Insights

The proposed project aims to enhance Originality.ai’s role in the evolving digital content industry by addressing challenges in content authenticity and originality. The project focuses on creating impactful studies and data visualizations that leverage large datasets to evaluate trends, technologies, and methodologies in AI-generated content detection. By developing proprietary insights and tools, this initiative will […]

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Application of neuroimaging to optimize observational learning from a mobile application: influences of age and brain function

One side effect of stroke is damage to the left parietal lobe, important in motor control of the right hand. Many stroke patients experience loss of motor skills and have difficulty relearning how to perform daily tasks. Recent reports from stroke rehabilitation centres have shown increased improvements in relearning basic motor skills upon incorporation of […]

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Planning paired-watershed scale biomass boiler ash utilization trials to support bioenergy waste diversion, forest regeneration, and aquatic ecosystem health

Wood ash is the residual from biomass boilers at forest products mills and stand alone energy facilities. In Canada, residual ash is often landfilled, which can be costly and pose environmental risks. However, considering that the components of the ash are derived primarily from soils and trees, and there is increasing interest to return wood […]

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Explainable AI Models to Predict Metabolic Cancer Biomarkers

Cancer’s persistent prevalence calls for innovative steps in early detection and therapeutic interventions. Metabolomics offers a comprehensive view of the metabolites that measure the function of cellular processes in this context. As explainable AI (XAI) emerges, it sheds light on these intricate systems’ decision-making processes and outcomes, making them accessible to human understanding. The project […]

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Computational Modeling of Fluid-Structure-Chemical Interactions in Fish Swimming

Aquatic species, such as fish use effective methods for navigation and propulsion in marine environments. Understanding these functionalities of detecting predators, preys, food, and mates by sensing changes in water velocity and pressure offer valuable insights to design efficient underwater robots. Although underwater odor and chemical cues are crucial for fish navigation, the exact mechanisms […]

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Developing an AI learning and training program – Pedagogy focus

Appleby College is in the early stages of developing its AI learning and training program for high-school-age students. The program aims to provide students an interactive platform focusing on AI literacy and competency. AI technology is a trending domain incorporated in every aspect of life. Therefore, ensuring that students understand AI at an earlier age […]

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Assessment of Banana Peel Ash as a Catalyst for FAME (Fatty Acid Metil Ester – Biodiesel) Production from a Mixture of Refined Palm Oil, Used Cooking Oil and Methanol in a Batch Reactor

Recent studies in the field of biodiesel production emphasize the use of waste materials, such as used cooking oils and agricultural by-products like banana peels, to enhance sustainability and reduce environmental impacts. Researchers are exploring innovative methods to utilize these waste materials both as raw materials and catalysts, thereby promoting a circular economy. The latest […]

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