Browsing Electrical and Computer Engineering by Title
Now showing items 339-358 of 1944
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DASE: Document-Assisted Symbolic Execution for Improving Automated Test Generation
(University of Waterloo, 2014-06-17)Software testing is crucial for uncovering software defects and ensuring software reliability. Symbolic execution has been utilized for automatic test generation to improve testing effectiveness. However, existing test ... -
Data Balancing and Hyper-parameter Optimization for Machine Learning Algorithms for Secure IoT Networks
(University of Waterloo, 2022-12-19)Nowadays, many industries rely on Machine Learning (ML) algorithms and their ability to learn from existing data to make inferences about new unlabeled data. Applying ML algorithms to the network security domain is not ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Data Scratchpad Prefetching for Real-time Systems
(2017-05-01)In recent years, the real-time community has produced a variety of approaches targeted at managing on- chip memory (scratchpads and caches) in a predictable way. However, to obtain safe Worst-Case Execution Time (WCET) ... -
Data-Driven Network Management for Next-Generation Wireless Networks
(University of Waterloo, 2022-09-09)With the commercialization and maturity of the fifth-generation (5G) wireless networks, the next-generation wireless network (NGWN) is envisioned to provide seamless connectivity for mobile user terminals (MUTs) and to ... -
Dataset Creation and Imbalance Mitigation in Big Data: Enhancing Machine Learning Models for Forest Fire Prediction
(University of Waterloo, 2023-10-19)Historically, forest fire prediction methods have leaned on heuristics, local insights, and basic statistical models, often neglecting the complex interplay of variables such as temperature, humidity, wind speed, and ... -
DC, Microwave and Optoelectronic Characterization of YBa2Cu3O7-x Nano-Scale Thin Film Structures
(University of Waterloo, 2012-09-26)The nonlinear electrodynamic characteristics and presence of vortex dynamics in pseudo 2-dimensional microbridges make them attractive to design novel passive and active microwave circuits. Before such applications could ... -
DCT-based Image/Video Compression: New Design Perspectives
(University of Waterloo, 2014-04-29)To push the envelope of DCT-based lossy image/video compression, this thesis is motivated to revisit design of some fundamental blocks in image/video coding, ranging from source modelling, quantization table, quantizers, ... -
Dead Reckoning for Distributed Network Online Games
(University of Waterloo, 2021-05-07)Online networked games are becoming increasingly popular. One type of network architecture used in these games is a distributed network architecture, where players send periodic updates to each other and each player must ... -
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 ...