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 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

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Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information, Felipe Urra

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Incorporating Figure Captions and Descriptive Text into Mesh Term Indexing: A Deep Learning Approach, Xindi Wang

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High Multiplicity Strip Packing Problem With Three Rectangle Types, Andy Yu

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Optimizing the usage of 2D and 3D transformations to improve the BM3D image denoising algorithm, Zaied Zaman

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Vessel Tree Reconstruction with Divergence Prior, Zhongwen Zhang

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A New Approach to Sequence Local Alignment: Normalization with Concave Functions, Qiang Zhou

Theses/Dissertations from 2018

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Partitioning and Offloading for IoT and Video Streaming Applications that Utilize Computing Resources at the Network Edge, Navid Bayat

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High Performance Sparse Multivariate Polynomials: Fundamental Data Structures and Algorithms, Alex Brandt

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Predicting Software Fault Proneness Using Machine Learning, Sanjay Ghanathey

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Baseline Assisted Classification of Heart Rate Variability, Elham Harirpoush

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Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming, James Hughes

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Tension Analysis in Survivor Interviews: A Computational Approach, Jumayel Islam

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Citation Function and Polarity Classification in Biomedical Papers, Meng Jia

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Efficient Alignment Algorithms for DNA Sequencing Data, Nilesh Vinod Khiste

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Feature Based Calibration of a Network of Kinect Sensors, Xiaoyang Li

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Computational Modelling of Human Transcriptional Regulation by an Information Theory-based Approach, Ruipeng Lu

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SOL: Segmentation with Overlapping Labels, Karin Ng

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DNA Sequence Classification: It’s Easier Than You Think: An open-source k-mer based machine learning tool for fast and accurate classification of a variety of genomic datasets, Stephen Solis-Reyes

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Complexity Results for Fourier-Motzkin Elimination, Delaram Talaashrafi

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Pelee: A Real-Time Object Detection System on Mobile Devices, Jun Wang

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Putting Fürer's Algorithm into Practice with the BPAS Library, Linxiao Wang

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Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts, Zhenyi Wang

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Word Blending and Other Formal Models of Bio-operations, Zihao Wang

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Learning Regularization Weight for CRF Optimization, Jiaxiao Wu