Browsing Engineering (Faculty of) by Subject "machine learning"
Now showing items 21-40 of 103
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Development of a machine learning-based model to autonomously estimate web page credibility
(University of Waterloo, 2020-09-02)There is a broad range of information available on the Internet, some of which is considered to be more credible than others. People consider different credibility aspects while evaluating the credibility of a web page, ... -
Development of a Scalable Machining Feature Recognition System
(University of Waterloo, 2023-12-19)In this thesis, various pre-processing and training techniques were applied to improve the performance of a model trained with an existing machining feature recognition approach by Yeo et al. using a smaller dataset that ... -
Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection
(University of Waterloo, 2019-08-19)Pavement Management System (PMS) analytical tools mainly consist of pavement condition investigation and evaluation tools, pavement condition rating and assessment tools, pavement performance prediction tools, treatment ... -
Driving Manoeuvre Recognition using Mobile Sensors
(University of Waterloo, 2016-08-31)Automobiles are integral in today's society as they are used for transportation, commerce, and public services. The ubiquity of automotive transportation creates a demand for active safety technologies for the consumer. ... -
Efficient Multi-Objective Optimization of an Automotive Crush Rail Under Axial and Oblique Impact
(University of Waterloo, 2021-04-30)Oblique impact conditions are of increasing research importance, and this kind of study is becoming more common in the crashworthiness literature. Optimization strategies, such as the Response Surface Methodology (RSM), ... -
Energy Regeneration and Environment Sensing for Robotic Leg Prostheses and Exoskeletons
(University of Waterloo, 2021-12-23)Robotic leg prostheses and exoskeletons can provide powered locomotor assistance to older adults and/or persons with physical disabilities. However, limitations in automated control and energy-efficient actuation have ... -
Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Optimized Synthetic Correlated Diffusion Imaging
(University of Waterloo, 2024-04-17)Breast cancer is the second most common type of cancer in women in Canada and the United States, representing over 25% of all new female cancer cases. The prevalence of breast cancer continues to grow, affecting about ... -
Evaluating the Usefulness of Synthetic Data in Healthcare: Applications in Predictive Modeling and Privacy Protection
(University of Waterloo, 2024-04-24)The advent of data-driven approaches in healthcare has opened new horizons for patient care, disease management, and medical research. However, one of the significant challenges is the availability of large-scale, high-quality ... -
Evaluation of Accelerometer-Based Walking-Turn Features for Fall-Risk Assessment in Older Adults
(University of Waterloo, 2017-05-17)Falls in older adult populations are a serious health concern, resulting in physical and psychological trauma in addition to increased pressure on healthcare systems. Faller classification and fall risk assessment in elderly ... -
Feature Analysis and Classification of Inflammatory Bowel Disease and Hidradenitis Suppurativa Using Data Mining
(University of Waterloo, 2023-03-14)Inflammatory Bowel Disease (IBD) refers to a group of conditions that primarily affect the gut and cause inflammation. In contrast, Hidradenitis Suppurativa (HS) is a chronic immune-mediated condition characterized by boils ... -
Financial Fraud Detection and Data Mining of Imbalanced Databases using State Space Machine Learning
(University of Waterloo, 2016-01-04)Risky decisions made by humans exhibit characteristics common to each decision. The related systems experience repeated abuse by risky humans and their actions collude to form a systemic behavioural set. Financial fraud ... -
Finding Patterns in Static Analysis Alerts: Improving Actionable Alert Ranking
(University of Waterloo, 2014-09-02)Static analysis (SA) tools that find bugs by inferring programmer beliefs (e.g., FindBugs) are commonplace in today’s software industry. While they find a large number of actual defects, they are often plagued by high rates ... -
Fingerprint-based indoor positioning and intensity classification using an improved machine learning framework
(University of Waterloo, 2021-10-21)Covid-19 has changed the world in terms of business, public, and many other fields. Millions of livelihoods have been affected by the pandemic. Amidst the upheaval, work from home and restrictions on indoor gatherings have ... -
FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
(University of Waterloo, 2023-01-26)Flaky tests can pass or fail non-deterministically, without alterations to a software system. Such tests are frequently encountered by developers and hinder the credibility of test suites. Thus, flaky tests have caught the ... -
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks
(University of Waterloo, 2020-02-11)Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and government. However, the significant success of neural ... -
Histopathology Image Analysis and NLP for Digital Pathology
(University of Waterloo, 2021-08-27)Information technologies based on ML with quantitative imaging and texts are playing an essential role, particularly in general medicine and oncology. DL in particular has demonstrated significant breakthroughs in Computer ... -
Implementing MLOps on Edge-Cloud Systems: A New Paradigm for Training at the Edge
(University of Waterloo, 2023-08-18)Owing to the rise in data from the Internet of Things~(IoT) devices and the increasing demand for intelligent decision-making on the network's edge, there has been a significant surge in interest in the intersection of ... -
Improved Slow Feature Analysis for Process Monitoring
(University of Waterloo, 2022-08-22)Unsupervised multivariate statistical analysis models are valuable tools for process monitoring and fault diagnosis. Among them, slow feature analysis (SFA) is widely studied and used due to its explicit statistical ... -
Improving Robustness of Homography Estimation for Ice Rink Registration
(University of Waterloo, 2023-08-28)Hockey analytics involves obtaining information from games so that coaches, managers, and teams can make better decisions in training, playing, and hiring. As there is a large amount of information available in each game, ... -
Incremental machine learning-based accelerator for computational fluid dynamics simulations
(University of Waterloo, 2023-10-16)The simulation of physicochemical processes with computational methods is key for engineering design, with applications in a variety of industries, ranging from pharmaceuticals to aerodynamics. Despite its importance and ...