Browsing Engineering (Faculty of) by Subject "deep learning"
Now showing items 1-20 of 71
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3D Mesh and Pose Recovery of a Foot from Single Image
(University of Waterloo, 2022-01-18)The pandemic and the major shift to online shopping has highlighted the current difficulties in getting proper sizing for clothing and shoes. Being able to accurately measure shoes using readily available smartphones would ... -
Abstraction Mechanism on Neural Machine Translation Models for Automated Program Repair
(University of Waterloo, 2019-09-23)Bug fixing is a time-consuming task in software development. Automated bug repair tools are created to fix programs with little or no human effort. There are many existing tools based on the generate-and-validate (G&V) ... -
Adversarial Machine Learning and Defenses for Automated and Connected Vehicles
(University of Waterloo, 2024-04-18)This thesis delves into the realm of adversarial machine learning within the context of Connected and Automated Vehicles (CAVs), presenting a comprehensive study on the vulnerabilities and defense mechanisms against ... -
AI Aided Tools for Fresh Produce Yield and Price Forecasting: Deep Learning Approaches
(University of Waterloo, 2021-07-22)It is important to have an accurate estimate of the yields and prices of fresh produce (FP) for maintaining an effective Fresh Produce Supply Chain Management (FSCM). Since, the FP comprises of the perishable goods, it is ... -
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 ... -
Anomaly Detection and Classification with Deep Learning Techniques
(University of Waterloo, 2022-03-30)The capability of deep learning (DL) techniques for dealing with non-linear, dynamic and correlated data has paved the way for developing DL-based solutions for real-world problems. Among them, anomaly detection has been ... -
Anomaly Detection in Textured Surfaces
(University of Waterloo, 2019-12-17)Detecting anomalies in textured surfaces is an important and interesting problem that has practical applications in industrial defect detection and infrastructure asset management with a lot of potential financial benefits. ... -
Application of Deep Learning in Chemical Processes: Explainability, Monitoring and Observability
(University of Waterloo, 2022-01-04)The last decade has seen remarkable advances in speech, image, and language recognition tools that have been made available to the public through computer and mobile devices’ applications. Most of these significant ... -
Applications of Neural Networks in Classifying Trained and Novel Gestures Using Surface Electromyography
(University of Waterloo, 2019-09-09)Current prosthetic control systems explored in the literature that use pattern recognition can perform a limited number of pre-assigned functions, as they must be trained using muscle signals for every movement the user ... -
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. ... -
Autonomous Driving: A Multi-Objective Deep Reinforcement Learning Approach
(University of Waterloo, 2019-05-23)Autonomous driving is a challenging domain that entails multiple aspects: a vehicle should be able to drive to its destination as fast as possible while avoiding collision, obeying traffic rules and ensuring the comfort ... -
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]. ... -
Continual Learning and Forgetting in Deep Learning Models
(University of Waterloo, 2020-12-14)Continual learning is a framework of learning in which we aim to move beyond the limitations of standard isolated optimization of deep learning models toward a more intelligent setting, where models or agents are able to ... -
Data, Debt & Daemons: Systemic Asymmetries on Spaceship Earth
(University of Waterloo, 2019-10-17)Day by day, the rate at which we create new data increases exponentially. Our capacity to learn cannot keep up. We are tiny members of a vast universal network, incapable of discerning cause and effect. Instead, we develop ... -
A Deep Learning Approach for Automating Concrete Bridge Defect Assessment Using Computer Vision
(University of Waterloo, 2020-08-21)Current bridge inspection practices are outdated compared to the advanced technologies available today, and there is significant room for improvement. For example, spalls are inspected by visual assessment and delaminations ... -
Deep Learning Based Approaches for Imputation of Time Series Models
(University of Waterloo, 2020-12-16)Market price forecasting models for Fresh Produce (FP) are crucial to protect retailers and consumers from highly priced FP. However, utilizing the data for forecasting is obstructed by the occurrence of missing values. ... -
Deep Learning Based Building Extraction from High-Resolution Remote Sensing Images
(University of Waterloo, 2022-07-11)Building extraction from remote sensing images is a critical task to support various applications such as cartography, disaster response, and urban planning. The automation of this task is an active research area due to ... -
Deep Learning for Object Relationships: Applications to Road Safety and Bin Picking
(University of Waterloo, 2024-01-17)Estimating the relationships between objects is fundamental to certain problems that require an understanding of a scene captured by a camera. This object-relationship theme is explored in two contexts in this thesis: (i) ... -
Deep Learning-based Driver Behavior Modeling and Analysis
(University of Waterloo, 2019-12-17)Driving safety continues receiving widespread attention from car designers, safety regulators, and automotive research community as driving accidents due to driver distraction or fatigue have increased drastically over the ... -
Deep Learning-Enabled Cerebrovascular Reactivity Processing Software
(University of Waterloo, 2022-12-23)Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique that is used to generate high-resolution images of the brain. Blood oxygenation level dependent (BOLD) imaging is a functional MRI technique that ...