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Home > Applied Computing > Applied Computing Theses

Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses

 

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Submissions from 2019 2019

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Automatic Description: A Novel Approach to Documenting Character Description for Consistency in Long – Form Prose, Samantha Akulick

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Bench Tracker: Improving Actionable Insights in Smartwatch Fitness Application by Increasing Usability Through Simplification, Chris Campanelli

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Improving Video Game Recommendations Using a Hybrid, Neural Network and Keyword Ranking Approach, Nicholas Crawford

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Exploring Emotion Recognition for VR-EBT Using Deep Learning on a Multimodal Physiological Framework, Nicholas Dass

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Detection of Distracted Pedestrians using Convolutional Neural Networks, Igor Grishchenko

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Automatic Extraction of Useful Information from Food -Health Articles related to Diabetes, Cardiovascular Disease and Cancer, Ken Sunong

Submissions from 2018 2018

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Exploring Identifiers of Research Articles Related to Food and Disease Using Artificial Intelligence, Marco Ross

 
 
 

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