Browsing University of Waterloo by Title
Now showing items 3613-3632 of 18774
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Deep Image Prior for Disentangling Mixed Pixels
(University of Waterloo, 2022-08-19)A mixed pixel in remotely sensed images measures the reflectance and emission from multiple target types (e.g., tree, grass, and building) from a certain area. Mixed pixels exist commonly in spaceborne hyper-/multi-spectral ... -
Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map
(University of Waterloo, 2018-01-02)In clothing and particularly in footwear, the variance in the size and shape of people and of clothing poses a problem of how to match items of clothing to a person. This is specifically important in footwear, as fit is ... -
Deep Learning and Spatial Statistics for Determining Road Surface Condition
(University of Waterloo, 2019-08-28)Machine Learning (ML), and especially Deep Learning (DL) methods, have evolved rapidly over the last years and showed remarkable advances in research areas such as computer vision and natural language processing; however, ... -
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(University of Waterloo, 2020-08-21)Current bridge inspection practices are outdated compared to the advanced technologies available today, and there is significant room for improvement.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 Based Place Recognition for Challenging Environments
(University of Waterloo, 2016-08-25)Visual based place recognition involves recognising familiar locations despite changes in environment or view-point of the camera(s) at the locations. There are existing methods that deal with these seasonal changes or ... -
Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds
(University of Waterloo, 2021-01-07)This thesis focuses on the challenges and opportunities that come with deep learning in the extraction of 3D information from point clouds. To achieve this, 3D information such as point-based or object-based attributes ... -
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 for Peptide Feature Detection from Liquid Chromatography - Mass Spectrometry Data
(University of Waterloo, 2022-04-26)Proteins are the main workhorses of biological functions and activities, such as catalyzing metabolic reactions, DNA replication, providing structure to cells and organisms, etc. Comparative analysis of protein samples ... -
Deep Learning Methods for Novel Peptide Discovery and Function Prediction
(University of Waterloo, 2024-04-26)This thesis explores deep learning methods for protein identification and property prediction, encompassing two primary areas: mass spectrometry-based protein sequence identification and protein property prediction. We ... -
Deep Learning Tools for Yield and Price Forecasting Using Satellite Images
(University of Waterloo, 2021-07-26)The ability to forecast crop yields and prices is vital to secure global food availability and provide farmers, retailers, and consumers with valuable information to maximize effectiveness. Conventional approaches used to ... -
Deep Learning-Based Driver Behavior Detection on Simulated and Real Data
(University of Waterloo, 2023-09-27)Driver behaviour has a significant influence on vehicle accidents. Measuring and providing feedback on driver behaviour can provide significant benefits for understanding and improving road safety. Mobile phones can be ... -
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 ... -
Deep Multi Agent Reinforcement Learning for Autonomous Driving
(University of Waterloo, 2020-04-29)Deep Learning and back-propagation have been successfully used to perform centralized training with communication protocols among multiple agents in a cooperative Multi-Agent Deep Reinforcement Learning (MARL) environment. In ... -
Deep Recurrent Neural Networks for Fault Detection and Classification
(University of Waterloo, 2018-12-20)Deep Learning is one of the fastest growing research topics in process systems engineering due to the ability of deep learning models to represent and predict non-linear behavior in many applications. However, the application ... -
Deep Reinforcement Learning Based Approach for Multi-Agent Control of Residential Electric Water Heaters for Distribution Load Management
(University of Waterloo, 2021-10-01)The push towards decarbonization and electrification of the society is leading to increased electricity demand. Many countries, including Canada, are utilizing non-greenhouse gas (GHG) emitting sources and renewable energy ... -
Deep Reinforcement Learning Models for Real-Time Traffic Signal Optimization with Big Traffic Data
(University of Waterloo, 2021-05-19)One of the most significant changes that the globe has faced in recent years is the changes brought about by the COVID19 pandemic. While this research was started before the pandemic began, the pandemic has exposed the ... -
Deep Representation Learning and Prediction for Forest Wildfires
(University of Waterloo, 2019-05-17)An average of 8000 forest wildfires occurs each year in Canada burning an average of 2.5M ha/year as reported by the Government of Canada. Given the current rate of climate change, this number is expected to increase each ...