Browsing Theses by Title
Now showing items 2998-3017 of 15611
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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 ... -
Deep SELECTOR-JPEG: ADAPTIVE JPEG IMAGE COMPRESSION FOR COMPUTER VISION IN IMAGE CLASSIFICATION AND HUMAN VISION
(University of Waterloo, 2021-01-18)Deep Neural Networks (DNNs) demonstrate excellent performance in many Computer Vision (CV) applications such as image classification. To meet storage/bandwidth requirements, the input images to these CV applications are ... -
Deep Supply-Chain Engagement in Conflict Minerals
(University of Waterloo, 2018-06-18)Tin, tantalum, tungsten and gold, known as the 3TG, are commonly used in electronics, and other high tech and manufactured products. Their extraction in the Democratic Republic of the Congo, where human rights and civil ... -
Deep Weakly Supervised Learning for Whole Slide Image Representation: A Multimodal Approach
(University of Waterloo, 2021-12-15)Pathologists examine stained specimens under a microscope to diagnose a multitude of diseases. With the advancement of scanner technology in recent years, the entire tissue glass slide can now be scanned and saved as a ... -
A Deep-Learning Framework for Detecting and Predicting Clinical Events Using Continuous, Multimodal Physiological Signals
(University of Waterloo, 2024-02-20)There are an estimated 313 million surgeries performed worldwide each year. Even with significant clinical and technical advances in perioperative research, many patients experience a major complication during the first ... -
Deep-Learning Framework for Estimating Behind the Meter Solar Generation and Electric Vehicle Penetration Level and Time-of-Use
(University of Waterloo, 2021-01-20)The continual increase in the adoption of rooftop solar/photovoltaic (PV) generation and electric vehicles (EVs) presents challenges, as well as opportunities, in distribution power systems. Without monitoring or control, ... -
Deeper Burning Increases Available Phosphorus, Promotes Moss Growth, and Carbon Dioxide Uptake in a Fen Peatland One-Year Post-Wildfire in Fort McMurray, AB
(University of Waterloo, 2019-01-25)Carbon storage in northern peatlands is estimated to be ~795 Tg, equivalent to ~40% of atmospheric CO2. Peatlands are dominant features of the Western Boreal Plains (WBP), which are experiencing a regime shift to a ... -
Deeper insights into the construct of sexual communication: Understanding of the role of individual and relationship factors and the development of a process model
(University of Waterloo, 2023-08-23)Successful and fulfilling intimate relationships are an integral part of overall wellbeing, and their success and meaning are determined by many factors, including sexual communication within the relationship (Byers & ... -
DeepThInk: Designing and Probing Human-AI Co-creation in Digital Art Therapy
(University of Waterloo, 2023-03-27)Art therapy has been an essential form of psychotherapy to facilitate psychological well-being, which has been promoted and transformed by recent technological advances into digital art therapy. However, the potential of ...