Browsing University of Waterloo by Subject "artificial intelligence"
Now showing items 41-53 of 53
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Predicting Repository Upkeep with Textual Personality Analysis
(University of Waterloo, 2019-08-29)GitHub is an excellent democratic source of software. Unlike traditional work groups however, GitHub repositories are primarily anonymous and virtual. Traditional strategies for improving the productivity of a work group ... -
Reinforcement Learning for Parameter Control of Image-Based Applications
(University of Waterloo, 2004)The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. ... -
Reinforcement Learning of Dynamic Collaborative Driving
(University of Waterloo, 2008-05-21)Dynamic Collaborative Driving is the concept of decentralized multi-vehicle automated driving where vehicles form dynamic local area networks within which information is shared to build a dynamic data representation of the ... -
A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells
(Elsevier, 2021-12)The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells requires a computationally efficient and sufficiently accurate model to predict the transient and long-term performance under various ... -
Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies
(Elsevier, 2021-10)KEY POINTS AI has shown promising applications in quantitative imaging required for dosimetry. Segmentation of organs and tumors, the most time consuming task in the dosimetry workflow, can be automated using AI. ... -
The Shape of Agency: Fostering Agency in Qualitative Research through Data Visualization
(University of Waterloo, 2023-09-08)Qualitative data analysis is important to the field of healthcare since it allows researchers to understand the lived experience of patients, practitioners, and everyone in between. However, qualitative data requires time ... -
Short-Term Traffic Participants Behaviour Prediction for Automated Vehicles
(University of Waterloo, 2020-12-17)Due to the rapid commencement of autonomous vehicles and the promising potential benefits, it has made it critical for said vehicles to be able to interpret their environment and compensate for the absence of driver ... -
Standards for the control of algorithmic bias in the Canadian administrative context
(University of Waterloo, 2022-08-30)Governments around the world use machine learning in automated decision-making systems for a broad range of functions, including the administration and delivery of healthcare services, education, housing benefits; for ... -
Towards Olefin Multi-block Copolymers with Tailored Properties: A Molecular Perspective
(Wiley, 2021-05)Recent progress in macromolecular reaction engineering has enabled the synthesis of sequence-controlled polymers. The advent of Olefin Block Copolymers (OBCs) via chain shuttling polymerization of ethylene with α-olefins ... -
Transparent Decision Support Using Statistical Evidence
(University of Waterloo, 2005)An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system ... -
Unsupervised Methods for Condition-Based Maintenance in Non-Stationary Operating Conditions
(University of Waterloo, 2022-04-28)Maintenance and operation of modern dynamic engineering systems requires the use of robust maintenance strategies that are reliable under uncertainty. One such strategy is condition-based maintenance (CBM), in which ... -
The Use of Artificially Intelligent Symptom checkers by University Students – An Exploratory Sequential Mixed Methods Study
(University of Waterloo, 2021-09-10)Rising healthcare costs, wait times, unnecessary care, and lack of access to a primary care provider, are pressing issues encountered by various health systems and in part, are a result of misinformed patient demand. The ... -
Utilization of Predictive Analytics & Constrained Metaheuristics to Achieve Optimal Operation of a Liquid-fueled Industrial Process Heater
(University of Waterloo, 2015-05-11)The operation of industrial combustion devices to improve fuel efficiency and reduce emissions, is necessary in many respects. Increasingly stringent environmental regulations and the present volatility of the price of ...