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From Adaptive Testing to Personalized Adaptive Testing: Applications of Machine Learning Algorithms
Download2022-11-03
Invited talk given at the Twentieth Annual MARC Virtual Conference on November 3, 2022.
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2020
Healthcare Fraud is an act that causes a loss of billions of dollars every year across the world. The impact of healthcare fraud is very far-reaching and affects the efficiency of healthcare systems. To thwart the perpetrators early on, intelligent fraud detection technologies are required to...
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IDENTIFYING ADOLESCENTS AT RISK OF DEVELOPING NEGATIVE OUTCOMES AFTER RECEIVING OPIOID ANALGESICS FOR CHRONIC NON-CANCER PAIN MANAGEMENT USING MACHINE LEARNING ALGORITHMS
DownloadSpring 2023
Canada's prescription opioid dispensing rates have increased since the early 21st century and this has contributed to an increase in opioid-related morbidity and mortality. Adolescents are one of the most vulnerable age groups when it comes to experiencing morbidity and mortality related to...
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Fall 2019
In Canada, demand for automated construction manufacturing has increased, and, consequently, there has been an increase in the demand for automated manufacturing systems. An opportunity exists in Canada to tap into the growing market for automated manufacturing systems; however, there is limited...
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Fall 2018
The demand for rehabilitation services has increased in recent years due to population aging. Due to the limitations of therapists’ time and healthcare resources, robot-assisted therapy is becoming an appealing, powerful and economical solution. In this thesis, and in order to reach a long term...
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Spring 2020
Machine learning (ML) has shown great potential to create tremendous value and growth to all sectors around the world, enhancing productivity, health, and longevity of humanity. ML differentiates itself from all previous methods through its adaptive and self-learning capabilities. In recent...
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2021-06-01
Palakonda, Vishal, Palacharla, Sri Krishna Kiriti, Mall, Uttam Kumar
Machine learning (ML) has numerous applications, one being able to predict or forecast the time series. Financial world was always interested in the stock market forecast, and ML tools has their niche in trading. Researchers across various fields have tried creating a faultproof method in...
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Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture
DownloadFall 2021
Cyclic adsorption processes are widely considered for various industrial gas separations, including CO2 capture. The flexibility to configure a variety of process cycles is an attractive process design feature of these processes. Despite such flexibility for process design, computationally...
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Modelling Mountain Pine Beetle Population Dynamics and Management: A Case Study from the Cypress Hills
DownloadFall 2019
Outbreaks of insects are one of the main sources of disturbance in North American pine forests. The huge economic and ecological consequences of these outbreaks emphasize the need for effective pest management. For example, the mountain pine beetle (Dendroctonus ponderosae, Hopkins 1902) has...
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Multi-Sensor Data Fusion and Reconfigurable Measurement System: A Machine Learning Approach
DownloadSpring 2020
The fast development of new technologies related to sensor solutions, cyber-physical-systems, cloud computing, the Internet of Things (IoT) and their applications in the industry has led to a new modern era where the industry itself has faced a new industrial revolution called Industry 4.0. With...