Browsing Electrical and Computer Engineering by Title
Now showing items 352-371 of 1968
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Debugging Relational Declarative Models with Discriminating Examples
(University of Waterloo, 2017-02-01)Models, especially those with mathematical or logical foundations, have proven valuable to engineering practice in a wide range of disciplines, including software engineering. Models, sometimes also referred to as logical ... -
A Decentralised Transactive Energy Market Considering Physical System Constraints
(University of Waterloo, 2022-08-29)Increasing levels of Distributed Energy Resources (DERs) are expected to play a key role in achieving global electricity decarbonisation goals, providing both a challenge and an opportunity for the electricity industry. ... -
Decentralized Data Acquisition Pipeline with Machine Learning For Side-Channel Information
(University of Waterloo, 2021-09-17)Technological advancements and the COVID-19 pandemic caused an increase in the adoption of technologies, services, and computers. Public cloud services surged with a 17\% increase, and adoption of software services such ... -
Decentralized Identity and Access Management Framework for Internet of Things Devices
(University of Waterloo, 2020-06-03)The emerging Internet of Things (IoT) domain is about connecting people and devices and systems together via sensors and actuators, to collect meaningful information from the devices surrounding environment and take actions ... -
Decentralized Regulation of Nonlinear Discrete-Time Multi-Agent Systems
(University of Waterloo, 2011-01-20)This thesis focuses on decentralized deadbeat output regulation of discrete-time nonlinear plants that are composed of multiple agents. These agents interact, via scalar-valued signals, in a known structured way represented ... -
Decompilation of Binaries into LLVM IR for Automated Analysis
(University of Waterloo, 2022-01-25)Complexity in malicious software is increasing to avoid detection and mitigation. As such, there is greater interest in using automation for reverse engineering. Current state-of-the-art tools use proprietary intermediate ... -
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, ... -
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 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 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 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 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-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, ... -
Degraded Reference Image Quality Assessment
(University of Waterloo, 2021-12-23)Images/videos are playing a more and more important role in the 21st century. The perceived quality of visual content often degrades during the process of acquisition, storage, transmission, display and rendering. Since ... -
Delay-Throughput Analysis in Distributed Wireless Networks
(University of Waterloo, 2009-04-17)A primary challenge in wireless networks is to use available resources efficiently so that the Quality of Service (QoS) is satisfied while maximizing the throughput of the network. Among different resource allocation ... -
Demand Response and Battery Energy Storage Systems in Electricity Markets: Frameworks & Models
(University of Waterloo, 2019-08-09)Ensuring a balance between the generation and demand is one of the most challenging tasks in power systems because of contingencies, sudden load changes, forecasting errors and other disturbances, occurring from time to ... -
Denoising Autoencoder for Multi-level Random Telegraph Signal Analysis
(University of Waterloo, 2023-09-21)Random Telegraph Signals (RTSs) are discrete random fluctuations between different current levels that usually appear in short-channel Metal-Oxide-Semiconductor Field Effect Transistors (MOSFETs). The statistical analysis ...