Electrical and Computer Engineering Theses and Dissertations

 

This collection contains theses and dissertations from the Department of Electrical and Computer Engineering, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

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Theses/Dissertations from 2024

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Data-Driven Vibration-Based Condition Monitoring: Fundamentals, Applications, and Challenges, Sulaiman A. S. Aburakhia

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SMART AUTHENTICATION MECHANISMS: UTILIZING BIG DATA FOR DYNAMIC AND PERSONALIZED SECURITY SOLUTIONS, IMAN ABU SULAYMAN

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Ontological View-based Semantic Integration Framework in Decentralized Environments, Fateh Mohamed Ali Adhnouss

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Enhancing Strawberry Disease and Quality Detection: Integrating Vision Transformers with Blender-Enhanced Synthetic Data and SwinUNet Segmentation Techniques, Kimia Aghamohammadesmaeilketabforoosh

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Machine Learning Classifiers for Chronic Obstructive Pulmonary Disease Assessment Using Lung CT Data., Halimah Alsurayhi

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Design of Space-Hardened Electronics in a Multispectral Imager for Lunar Rover Applications, Stephen J. Amey

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A Secure Lightweight Wireless M-Bus Protocol for IoT: Leveraging the Noise Protocol Framework, Wafaa Anani

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A Novel Technology for Precision Agriculture: Robotic Stem-Stake Coupling System, Moteaal Asadi Shirzi

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Real-Time 5G-Enabled Management System for Civil Infrastructure using Augmented Reality, Omar Zuhair Awadallah

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Development of Web-Integrated Extended Reality Applications in Medical Care, Liam Bilbie

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Cyber Risks in Ontario Online Elections, James D. Brunet

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Missing Data Imputation for Smart Meters: Conditional Denoising Diffusion Model & Temporally Chained Equations, Madhushan Buwaneswaran

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Machine Learning Methods and Comparisons for Visual Search, Ordering, Detection and Localization with Applications for Medical Imaging, Chandan Chandel

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Prostate Tissue Motion Tracking and Ultrasound Elastography Using Tissue Mechanics Derived Constraints, Tristan S. Curry

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The Development and Testing of a Gyroscope-Based Neck Strengthening Rehabilitation Device, Nicole D. Devos

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COLLABORATIVE INTELLIGENCE IN DECENTRALIZED ENVIRONMENTS, Husam M A El Asfour MR

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Towards Smart-Building Digital Twin: Data Integration, and Probabilistic Frameworks for Reliable Virtual Sensing, and Continuous Model Calibration, Dagimawi D. Eneyew

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Periodic structures to Improve Performance of Silicon based Optical Phase Shifters for Inter-Satellite Communication, Mackenzie Essington

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Liquid Flow Rate from Acoustic Measurements, Tiancheng Feng

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Breast Cancer Risk in Women with Breast Bilateral Asymmetry: Machine Learning Based Risk Analysis and Mitigation through Developing a Framework for Customized Bra Design, Xi Feng

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Intelligent and Customized Resource Management and Network Cooperation in Beyond 5G and 6G Networks, Yongqin Fu

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Attribution Robustness of Neural Networks, Sunanda Gamage

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Towards the Development of Wearable Tremor Suppression Systems Combining Functional Electrical Stimulation and Mechanical Actuation, Zahra Habibollahi

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The Rise of BREAD: Leveraging Open-Source Process Control, Finn Keith Hafting

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Fast and Reliable High-Impedance Fault Detection in AC Distribution Systems, Farnam Hojatpanah

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Human Robot Interactions Relying on Human Perception and Intention Awareness, Fehmi Karaalioglu

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Evaluating User Performance in Augmented and Virtual Reality for Neurosurgical Targeting Tasks, Denis Kikinov

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Planetary Exploration via Fully Automatic Topological Structure Extraction using Adaptive Resonance, Jonathan Kissi

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Cost-Optimized Household Energy Management Considering Variable Electricity Tariffs and Local Energy Storage, Jacqueline Le Feuvre

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Value of Service-Oriented Multi-Service Provisioning and Resource Allocation in Integrated Localization, Sensing and Communication Systems, Biwei Li

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3D-printable Open Source Hardware Developed For Sustainable Technology, Dawei Liu

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Development and Comparison of Intelligent and Deterministic Control and Path Planning Methods for Articulated Steering Mobile Robots, Kayvan Mahmoodifar

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Improving Fused Filament Fabrication Additive Manufacturing through Computer Vision Analysis and Fabrication Optimization, Aliaksei Petsiuk

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Modular Open-Source Photovoltaic-Powered DC Nanogrid for Application-Specific Designs, Md Motakabbir Rahman

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Hybrid Feedback Control for Autonomous Robot Navigation with Obstacle Avoidance, Mayur Sanjay Sawant

Theses/Dissertations from 2023

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Cluster-based Station Reporting and Multi-AP Coordination in Wi-Fi Networks, zeyad abdelmageid

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Enhancing the Performance of NMT Models Using the Data-Based Domain Adaptation Technique for Patent Translation, Maimoonah Ahmed

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Exploration of Force in Movement and Perception in Parkinson’s Disease, Caroline Stefanie Aitken

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Towards Zero Touch Next Generation Network Management, sam aleyadeh

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Deep Reinforcement Learning for Autonomous Unmanned Aerial Vehicle Navigation, Fadi AlMahamid

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SSL Everywhere: Leveraging HSMs for Enhanced Intra-Domain Security, Yazan Aref

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Multi-Dimensional QoS and Collaborative MAC Layer Design for Dense, Diverse, and Dynamic IoT Network, Jiyang Bai

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Computer Vision-Based Hand Tracking and 3D Reconstruction as a Human-Computer Input Modality with Clinical Application, Tania Banerjee

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Continuous Authentication in the Digital Age: An Analysis of Reinforcement Learning and Behavioural Biometrics, Priya Bansal

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Developing and testing a miniaturized in situ XRD for a Mars rover, Dana Michael Beaton

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Automatic Classification and Segmentation of Patterned Martian Ground Using Deep Learning Techniques, Ruthy Brito

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Intelligent Automation Solutions for Network Management and Security in 5G Networks: A Study on AutoML and Digital Twins, Mirna El Rajab

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A Novel Two-Stage AC-DC Power Converter with Partial Power Processing, Mina Fakhri

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Nonlinear Adaptive Control of Drilling Processes, Maksim Faronov

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Computationally Efficient Modeling of Electrically Short DC Cables with Frequency-Dependent Parameters, Milad Ghazizadeh

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Emotion Detection from EEG Signals using Machine Learning Techniques, Tina Gholami

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Information-Oriented Opportunistic Mobile Crowdsensing for Enhanced Heterogeneous Small Cell Network Operation, Mozhang Guo Mr

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Anomaly Detection on Partial Point Clouds for the Purpose of Identifying Damage on the Exterior of Spacecrafts, Kaitlin T. Hutton

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PT-Net: A Multi-Model Machine Learning Approach for Smarter Next-Generation Wearable Tremor Suppression Devices for Parkinson's Disease Tremor, Anas Ibrahim

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Computationally Efficient and Passive Transmission Line Interconnect Modelling for Single and Coupled Lines, Mark Keran

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Investigation of Sensorimotor Integration and Control in Parkinson’s Disease using Haptics-enabled Robotics and Machine Learning, Yokhesh Krishnasamy Tamilselvam

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Deep Learning for Detection of Upper and Lower Body Movements, Kyle B. Lacroix

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Robust and Intelligent Management and Orchestration of Next-Generation Networks and Systems, Dimitrios Michael Manias

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Identifying Sources Of Error In Computer Navigated Total Knee Arthroplasties Using A Metric On SE(3) and Sensitivity Analyses, Nicole E. Martensson

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Online Trajectory Generation Strategies for Needle-Based Interventions, Chris Morley

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An Approach to Lunar Regolith Particle Detection and Classification using Deep Learning, Hira Nadeem

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AI Applications on Planetary Rovers, Alexis David Pascual

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Electrohydrodynamic Phenomena in Non-Equilibrium Plasmas and Electric Discharges, Afshin Shaygani

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Mechanical Subsystem Design and Space Qualification of a Dual-Sensor Multispectral Imager for Lunar Rover Applications, Jessica Theia Sia

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A Novel Method for Determining the Inherent Capabilities of Computer and Robotic-Assisted Total Knee Arthroplasty Devices, Delaney R.G. Stevens

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Towards Automated Mineral Identification in Martian rocks from X-ray Diffraction Patterns, Luke Tambakis

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Forecasting the Future Capacities of Superconducting Quantum Computers: Extending Moore's Law Through Machine Learning, Christopher Tam

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Transforming Large-Scale Virtualized Networks: Advancements in Latency Reduction, Availability Enhancement, and Security Fortification, Ibrahim Tamim

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Data-Driven Predictive Maintenance: HVAC Health Prognostics Using Power Consumption and Weather Data, Ruiqi Tian

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A Study on the Field of XR Simulation Creation, Leveraging Game Engines to Develop a VR Hospital Framework, Virat K. Tripathi

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Development of a Novel Flexible Pressure Sensor for Colonoscopes and a Multi-Modal Colonoscopy Training Environment, Anirudh Vajpeyi

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Using Machine Learning to Assist Clinicians to Diagnose Auditory Processing Disorder in Children, Hasitha Wimalarathna

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3Tier – AKA: A novel authentication using 5G communication for edge users in Cloud-Fog-Edge computing, Jiayi Zhang

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Prediction of peak energy demand and timestamping in commercial supermarkets using deep learning, Mengchen Zhao

Theses/Dissertations from 2022

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Machine Learning and Operations Research for Intelligence Engines in Future Networks, Ali Chouman

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Configuration and Sizing of Small Modular Reactor with Thermal Energy Storage within a Microgrid for Off-grid Communities, Michael W. C. Davis

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Deep Learning For Load Forecasting With Smart Meter Data: Online And Federated Learning, Mohammad Navid Fekri

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Autonomous Rock Segmentation from Lidar Point Clouds Using Machine Learning Approaches, Lauren E. Flanagan

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Evolving Deep Neural Network Architectures for Time Series Data, Santiago Vladimir Gomez Rosero

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Machine Learning with Big Data for Electrical Load Forecasting, Alexandra L'Heureux

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Design and Evaluation of Fabric Cooling Channels for Twisted Coiled Actuators, Alex Lizotte

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AI-Based Traffic Forecasting in 5G Network, Maryam Mohseni

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A Framework for Stable Robot-Environment Interaction Based on the Generalized Scattering Transformation, Kanstantsin Pachkouski

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Automated Segmentation of the Inner Ear and Round Window in Computed Tomography scans using Convolutional Neural Networks, Kyle A. Rioux

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Behavioral Biometrics-based Continuous User Authentication, Sanket Vilas Salunke

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Efficient Discovery and Utilization of Radio Information in Ultra-Dense Heterogeneous 3D Wireless Networks, Mattaka Gamage Samantha Sriyananda

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Algorithmic Improvements In Deep Reinforcement Learning, Norman L. Tasfi

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Non-Orthogonal Multi-Dimensional Modulation and Nonlinear Distortion Compensation for Beyond 5G, Thakshanth Uthayakumar

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Anonymization & Generation of Network Packet Datasets Using Deep learning, Spencer K. Vecile

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Low Overhead and Application-Oriented Synchronization in Heterogeneous Internet of Things Systems, Haide Wang

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Effective Resource Scheduling for Collaborative Computing in Edge-Assisted Internet of Things Systems, Qianqian Wang

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Optimized and Automated Machine Learning Techniques Towards IoT Data Analytics and Cybersecurity, Li Yang

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A Novel Passive Islanding Detection Method Based on Phase-Locked Loop, Hoda Zamani

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Traffic Control and Collision Resolution for Random Access in M2M Communication, Changwei Zhang

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Coexistence of Wi-Fi and 5G NR-U in the Unlicensed Band, Sara Saud Zimmo

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Photonic Crystal Edge Couplers for Sensing Applications, Michael A. Zylstra

Theses/Dissertations from 2021

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Situation-Aware Quality of Service Enhancement for Heterogeneous Ultra-Dense Wireless IoT Networks, Sabin Bhandari

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In-clinic Functional Measurement and Analysis of Knee Osteoarthritis Patients Undergoing Total Knee Replacement, Riley A. Bloomfield

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Consensus-enabled and Value-oriented Collaboration in Distributed IoT Systems: Mechanisms, Design, and Implementation, Ruitao Chen

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Real-time Parkinsonian Tremor Signal Identifier Based on Internal Model Principle, Jian Dong