Computer Science Theses and Dissertations

 

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

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Theses/Dissertations from 2024

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A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR, Farhad Dalirani

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Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications, Sudipta Singha Roy

Theses/Dissertations from 2023

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Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis, Amreen Anbar

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Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces, Sepehr Asgarian

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Improved Protein Sequence Alignments Using Deep Learning, Seyed Sepehr Ashrafzadeh

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INVESTIGATING IMPROVEMENTS TO MESH INDEXING, Anurag Bhattacharjee

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Algorithms and Software for Oligonucleotide Design, Qin Dong

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Framework for Assessing Information System Security Posture Risks, Syed Waqas Hamdani

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De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling, Fang Han

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Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions, Heather Hartley

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A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit, Rongji He

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A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data, Behnam Jabbarizadeh

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Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs, Taabish Jeshani

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Citation Polarity Identification From Scientific Articles Using Deep Learning Methods, Souvik Kundu

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Denoising-Based Domain Adaptation Network for EEG Source Imaging, Runze Li

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Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification, Xiaoou Li

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DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING, Yizhou Li

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Developing A Smart Home Surveillance System Using Autonomous Drones, Chongju Mai

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Look-Ahead Selective Plasticity for Continual Learning, Rouzbeh Meshkinnejad

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The Two Visual Processing Streams Through The Lens Of Deep Neural Networks, Aidasadat Mirebrahimi Tafreshi

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Source-free Domain Adaptation for Sleep Stage Classification, Yasmin Niknam

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Data Heterogeneity and Its Implications for Fairness, Ghazaleh Noroozi

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Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments, Elham Okhovat

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Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis, Parul Parul

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On Computing Optimal Repairs for Conditional Independence, Alireza Pirhadi

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Open-Set Source-Free Domain Adaptation in Fundus Images Analysis, Masoud Pourreza

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Migration in Edge Computing, Arshin Rezazadeh

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A Modified Hopfield Network for the K-Median Problem, Cody Rossiter

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Predicting Network Failures with AI Techniques, Chandrika Saha

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Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective, Sajal Saha

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An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support, Mozhgan Salimiparsa

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Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition, Amir Hesam Salimnia

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Global Cyber Attack Forecast using AI Techniques, Nusrat Kabir Samia

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IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION, Rafael David Segistan Canizales

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A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods, Kayvan Shabani

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Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network, Sareh Soltani Nejad

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Smartphone Loss Prevention System Using BLE and GPS Technology, Noshin Tasnim

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A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets), Yasmen M. Wahba

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Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation, Anthony Wong

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Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images, Zhiyuan Yang

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Developing a Relay-based Autonomous Drone Delivery System, Muhammad Zakar

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Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods, Shaoshi Zhang

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Machine Learning Techniques for Improved Functional Brain Parcellation, Da Zhi

Theses/Dissertations from 2022

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The Design and Implementation of a High-Performance Polynomial System Solver, Alexander Brandt

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Defining Service Level Agreements in Serverless Computing, Mohamed Elsakhawy

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Algorithms for Regular Chains of Dimension One, Juan P. Gonzalez Trochez

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Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications, Susmitha Hanumanthu

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Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids, Jacob D L Hunte

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Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision, John Jewell

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Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach, Andrew Katoch

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Psychological Understanding of Textual journals using Natural Language Processing approaches, Amirmohammad Kazemeinizadeh

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Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems, Nima Khairdoost

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Solving Challenges in Deep Unsupervised Methods for Anomaly Detection, Vahid Reza Khazaie

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Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning, Marlin Manka

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Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents, Lareina Milambiling

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Improving Deep Entity Resolution by Constraints, Soudeh Nilforoushan

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Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques, Annita Tahsin Priyoti

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Extracting Microservice Dependencies Using Log Analysis, Andres O. Rodriguez Ishida

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False Discovery Rate Analysis for Glycopeptide Identification, Shun Saito

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Towards a Generalization of Fulton's Intersection Multiplicity Algorithm, Ryan Sandford

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An Investigation Into Time Gazed At Traffic Objects By Drivers, Kolby R. Sarson

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Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives, Ibrahim Mohammed Sayem

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A Unified Representation and Deep Learning Architecture for Persuasive Essays in English, Muhammad Tawsif Sazid

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Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP), Aakriti Sharma

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Advances in the Automatic Detection of Optimization Opportunities in Computer Programs, Delaram Talaashrafi

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Reputation-Based Trust Assessment of Transacting Service Components, Konstantinos Tsiounis

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Fully Autonomous UAV Exploration in Confined and Connectionless Environments, Kirk P. Vander Ploeg

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Three Contributions to the Theory and Practice of Optimizing Compilers, Linxiao Wang

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Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach, Wumian Wang

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Predicting and Modifying Memorability of Images, Mohammad Younesi

Theses/Dissertations from 2021

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Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches, Mahtab Ahmed

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A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning, Razan E. AlFar

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Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning, Aseel AlOrbani

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Contrastive Learning of Auditory Representations, Haider Al-Tahan

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Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains, Mohammadali Asadi

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Protein Interaction Sites Prediction using Deep Learning, Sourajit Basak

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Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis, William A. Beldman

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Improving Reader Motivation with Machine Learning, Tanner A. Bohn

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A Black-box Approach for Containerized Microservice Monitoring in Fog Computing, Shi Chang

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Visualization and Interpretation of Protein Interactions, Dipanjan Chatterjee

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A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing, Erik R. Christensen

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Exploratory Search with Archetype-based Language Models, Brent D. Davis

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Evolutionary Design of Search and Triage Interfaces for Large Document Sets, Jonathan A. Demelo

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Building Effective Network Security Frameworks using Deep Transfer Learning Techniques, Harsh Dhillon

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A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts, Yuan Du

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Automatic extraction of requirements-related information from regulatory documents cited in the project contract, Sara Fotouhi

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Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones, Gopi Gugan

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A Visual Analytics System for Rapid Sensemaking of Scientific Documents, Amirreza Haghverdiloo Barzegar

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Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm, Mohammad Karami

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Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files, Piyush Kumar Korlepara

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Parallel Arbitrary-precision Integer Arithmetic, Davood Mohajerani

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A Technique for Evaluating the Health Status of a Software Module Using Process Metrics, . Ria

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Visual Analytics for Performing Complex Tasks with Electronic Health Records, Neda Rostamzadeh

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Predictive Model of Driver's Eye Fixation for Maneuver Prediction in the Design of Advanced Driving Assistance Systems, Mohsen Shirpour

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A Generative-Discriminative Approach to Human Brain Mapping, Deepanshu Wadhwa

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WesternAccelerator:Rapid Development of Microservices, Haoran Wei

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A Lightweight and Explainable Citation Recommendation System, Juncheng Yin

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Mitosis Detection from Pathology Images, Jinhang Zhang

Theses/Dissertations from 2020

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Visual Analytics of Electronic Health Records with a focus on Acute Kidney Injury, Sheikh S. Abdullah

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Towards the Development of Network Service Cost Modeling-An ISP Perspective, Yasmeen Ali