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 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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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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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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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

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A Hybrid Approach to Procedural Dungeon Generation, Mathias Paul Babin

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Inverse Mapping of Generative Adversarial Networks, Nicky Bayat

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Design of Interactive Visualizations for Next-Generation Ultra-Large Communication Networks, Wenjun Chen

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A Generic Implementation of Fast Fourier Transforms for the BPAS Library, Colin S. Costello

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Automatically Classifying Non-functional Requirements with Feature Extraction and Supervised Machine Learning Techniques, Mahtab EzzatiKarami

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Requirements Engineering in the Context of Big Data Software Applications, Darlan Florencio de Arruda

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A Visual Analytics System for Making Sense of Real-Time Twitter Streams, Amir HaghighatiMaleki

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A Patch-as-Filter Method for Same-Different Problems with Few-Shot Learning, Yining Hu

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An Implementation of Power Series in the BPAS Library, Mahsa Kazeminooreddinvand

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Computational Methods for Predicting Protein-protein Interactions and Binding Sites, Yiwei Li

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Computation of Sensitive Multiple Spaced Seeds, Arnab Mallik

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Framework For Kernel Based BM3D Algorithm, Mena Abdelrahman Massoud

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Automated Anomaly Detection and Localization System for a Microservices Based Cloud System, Priyanka Prakash Naikade

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Triaging Twitter Users: An Exploratory Visual Analytics System, Parinaz Nasr Esfahani

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A Requirements Measurement Program for Systems Engineering Projects: Metrics, Indicators, Models, and Tools for Internal Stakeholders, Ibtehal Noorwali

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Range Flow: New Algorithm Design and Quantitative and Qualitative Analysis, Seereen Noorwali

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A Visual Analytics System for Investigating Multimorbidity Using Supervised Machine Learning, Maede Sadat Nouri

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Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation, Nathan Phelps

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Effiicient Computation of Maximal Exact Matches Between Genomic Sequences, Valeria Leticia Portes de Cerqueira Cesar

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Identifying External Cross-references using Natural Language Processing (NLP), Elham Rahmani

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Machine Learning with Digital Signal Processing for Rapid and Accurate Alignment-Free Genome Analysis: From Methodological Design to a Covid-19 Case Study, Gurjit Singh Randhawa

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Network Impact Modeling and Analysis: A QoS Perspective, Tarandeep K. Randhawa

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Hierarchical Group and Attribute-Based Access Control: Incorporating Hierarchical Groups and Delegation into Attribute-Based Access Control, Daniel Servos

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Discrimination of Leucine and Isoleucine in De Novo peptide sequencing using deep neural networks, Bingran Shen

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Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning, Sudipta Singha Roy

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Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis, Vincent Sippola

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Applying Front End Compiler Process to Parse Polynomials in Parallel, Amha W. Tsegaye

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Driving maneuver detection using knowledge distillation networks, Kyle Windsor

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MHCherryPan, a novel model to predict the binding affinity of pan-specific class I HLA-peptide, Xuezhi Xie

Theses/Dissertations from 2019

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Virtual Sensor Middleware: A Middleware for Managing IoT Data for the Fog-Cloud Platform, Fadi AlMahamid

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An Adaptive Weighted Average (WAV) Reprojection Algorithm for Image Denoising, Halimah Alsurayhi

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Extracting Scales of Measurement Automatically from Biomedical Text with Special Emphasis on Comparative and Superlative Scales, Sara Baker

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High Multiplicity Strip Packing, Andrew Bloch-Hansen

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New Algorithms for Computing Field of Vision over 2D Grids, Evan Debenham

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A new algorithm for primer design, Debanjan Guha Roy

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A New Method to Solve Same-different Problems with Few-shot Learning, Yuanyuan Han

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Algebraic Neural Architecture Representation, Evolutionary Neural Architecture Search, and Novelty Search in Deep Reinforcement Learning, Ethan C. Jackson

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Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN), Abdelkareem M. Jaradat

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A Programming Model for Internetworked Things, Hao Jiang

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An Investigation on Derivative and Model Noise for Optical Flow, Wenyang Liu

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Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines, Daniel R. Page

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Improving Neural Sequence Labelling Using Additional Linguistic Information, Muhammad Rifayat Samee

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Local Search Approximation Algorithms for Clustering Problems, Nasim Samei

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An Environment for Developing Incremental Learning Applications for Data Streams, Farzin Sarvaramini

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Assessment of Driver's Attention to Traffic Signs through Analysis of Gaze and Driving Sequences, Shabham Shabani

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Applicability of Recurrent Neural Networks to Player Data Analysis in Freemium Video Games, Jonathan Tan