Browsing Systems Design Engineering by Subject "machine learning"
Now showing items 1-20 of 32
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An Analysis Framework for the Quantization-Aware Design of Efficient, Low-Power Convolutional Neural Networks
(University of Waterloo, 2022-04-29)Deep convolutional neural network (CNN) algorithms have emerged as a powerful tool for many computer vision tasks such as image classification, object detection, and semantic segmentation. However, these algorithms are ... -
An artificial intelligence framework for vehicle crashworthiness design
(University of Waterloo, 2021-11-24)Numerical crash test simulations are crucial for vehicle safety design. In the automotive industry, frameworks based on finite element methods are most common as they are precise and reliable. A few of the setbacks are ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Automating Manufacturing Surveillance Processes Using External Observers
(University of Waterloo, 2022-09-29)An automated assembly system is an integral part of various manufacturing industries as it reduces production cycle-time resulting in lower costs and a higher rate of production. The modular system design integrates main ... -
Autonomous Radar-based Gait Monitoring System
(University of Waterloo, 2023-05-16)Features related to gait are fundamental metrics of human motion [1]. Human gait has been shown to be a valuable and feasible clinical marker to determine the risk of physical and mental functional decline [2], [3]. ... -
Biologically Inspired Spatial Representation
(University of Waterloo, 2020-10-08)In this thesis I explore a biologically inspired method of encoding continuous space within a population of neurons. This method provides an extension to the Semantic Pointer Architecture (SPA) to encompass Semantic Pointers ... -
Design, Dynamics, and Control of Active-passive Upper-limb Exoskeleton Robots
(University of Waterloo, 2022-12-21)Modern power assistive technologies, neuromuscular rehabilitation engineering, and haptic research have all entered into a new age thanks to wearable exoskeleton robotics. Exoskeleton robots, which range from fully passive ... -
Detection and Prediction of Freezing of Gait in Parkinson’s Disease using Wearable Sensors and Machine Learning
(University of Waterloo, 2021-10-12)Freezing of gait (FOG), is a brief episodic absence of forward body progression despite the intention to walk. Appearing mostly in mid-late stage Parkinson’s disease (PD), freezing manifests as a sudden loss of lower-limb ... -
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, ... -
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 ... -
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 ... -
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 ... -
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, ... -
Investigating the Application of Opposition-Based Ideas to Ant Algorithms
(University of Waterloo, 2007-09-13)Opposition-based learning (OBL) was recently proposed to extend di erent machine learning algorithms. The main idea of OBL is to consider opposite estimates, actions or states as an attempt to increase the coverage of ... -
Kernel Methods and Measures for Classification with Transparency, Interpretability and Accuracy in Health Care
(University of Waterloo, 2018-09-05)Support vector machines are a popular method in machine learning. They learn from data about a subject, for example, lung tumors in a set of patients, to classify new data, such as, a new patient’s tumor. The new tumor is ... -
Machine Learning based Models for Fresh Produce Yield and Price Forecasting for Strawberry Fruit
(University of Waterloo, 2020-06-02)Building market price forecasting models of Fresh Produce (FP) is crucial to protect retailers and consumers from highly priced FP. However, the task of forecasting FP prices is highly complex due to the very short shelf ... -
Machine Learning in Driver Drowsiness Detection: A Focus on HRV, EDA, and Eye Tracking
(University of Waterloo, 2023-09-25)Drowsy driving continues to be a significant cause of road traffic accidents, necessi- tating the development of robust drowsiness detection systems. This research enhances our understanding of driver drowsiness by analyzing ... -
Modern Object and Visual Relationship Detection in Images from a Critical, Cognitive and Data Perspective
(University of Waterloo, 2023-04-27)Deep learning has dominated the landscape of computer vision for the past decade. Deep learning networks are the top performers on a slew of computer vision challenges (e.g., object detection or image segmentation) and on ...