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
Theses/Dissertations from 2020
A Hybrid Approach to Procedural Dungeon Generation, Mathias Paul Babin
Inverse Mapping of Generative Adversarial Networks, Nicky Bayat
Design of Interactive Visualizations for Next-Generation Ultra-Large Communication Networks, Wenjun Chen
A Generic Implementation of Fast Fourier Transforms for the BPAS Library, Colin S. Costello
Automatically Classifying Non-functional Requirements with Feature Extraction and Supervised Machine Learning Techniques, Mahtab EzzatiKarami
Requirements Engineering in the Context of Big Data Software Applications, Darlan Florencio de Arruda
A Visual Analytics System for Making Sense of Real-Time Twitter Streams, Amir HaghighatiMaleki
A Patch-as-Filter Method for Same-Different Problems with Few-Shot Learning, Yining Hu
An Implementation of Power Series in the BPAS Library, Mahsa Kazeminooreddinvand
Computational Methods for Predicting Protein-protein Interactions and Binding Sites, Yiwei Li
Computation of Sensitive Multiple Spaced Seeds, Arnab Mallik
Framework For Kernel Based BM3D Algorithm, Mena Abdelrahman Massoud
Automated Anomaly Detection and Localization System for a Microservices Based Cloud System, Priyanka Prakash Naikade
Triaging Twitter Users: An Exploratory Visual Analytics System, Parinaz Nasr Esfahani
A Requirements Measurement Program for Systems Engineering Projects: Metrics, Indicators, Models, and Tools for Internal Stakeholders, Ibtehal Noorwali
Range Flow: New Algorithm Design and Quantitative and Qualitative Analysis, Seereen Noorwali
A Visual Analytics System for Investigating Multimorbidity Using Supervised Machine Learning, Maede Sadat Nouri
Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation, Nathan Phelps
Effiicient Computation of Maximal Exact Matches Between Genomic Sequences, Valeria Leticia Portes de Cerqueira Cesar
Identifying External Cross-references using Natural Language Processing (NLP), Elham Rahmani
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
Network Impact Modeling and Analysis: A QoS Perspective, Tarandeep K. Randhawa
Discrimination of Leucine and Isoleucine in De Novo peptide sequencing using deep neural networks, Bingran Shen
Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning, Sudipta Singha Roy
Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis, Vincent Sippola
Applying Front End Compiler Process to Parse Polynomials in Parallel, Amha W. Tsegaye
Driving maneuver detection using knowledge distillation networks, Kyle Windsor
MHCherryPan, a novel model to predict the binding affinity of pan-specific class I HLA-peptide, Xuezhi Xie
Theses/Dissertations from 2019
Virtual Sensor Middleware: A Middleware for Managing IoT Data for the Fog-Cloud Platform, Fadi AlMahamid
An Adaptive Weighted Average (WAV) Reprojection Algorithm for Image Denoising, Halimah Alsurayhi
High Multiplicity Strip Packing, Andrew Bloch-Hansen
New Algorithms for Computing Field of Vision over 2D Grids, Evan Debenham
A new algorithm for primer design, Debanjan Guha Roy
A New Method to Solve Same-different Problems with Few-shot Learning, Yuanyuan Han
Algebraic Neural Architecture Representation, Evolutionary Neural Architecture Search, and Novelty Search in Deep Reinforcement Learning, Ethan C. Jackson
Classifying Appliances Operation Modes Using Dynamic Time Warping (DTW) And K Nearest Neighbors (KNN), Abdelkareem M. Jaradat
A Programming Model for Internetworked Things, Hao Jiang
An Investigation on Derivative and Model Noise for Optical Flow, Wenyang Liu
Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines, Daniel R. Page
Improving Neural Sequence Labelling Using Additional Linguistic Information, Muhammad Rifayat Samee
Local Search Approximation Algorithms for Clustering Problems, Nasim Samei
An Environment for Developing Incremental Learning Applications for Data Streams, Farzin Sarvaramini
Assessment of Driver's Attention to Traffic Signs through Analysis of Gaze and Driving Sequences, Shabham Shabani
Applicability of Recurrent Neural Networks to Player Data Analysis in Freemium Video Games, Jonathan Tan
Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information, Felipe Urra
Incorporating Figure Captions and Descriptive Text into Mesh Term Indexing: A Deep Learning Approach, Xindi Wang
High Multiplicity Strip Packing Problem With Three Rectangle Types, Andy Yu
Optimizing the usage of 2D and 3D transformations to improve the BM3D image denoising algorithm, Zaied Zaman
Vessel Tree Reconstruction with Divergence Prior, Zhongwen Zhang
A New Approach to Sequence Local Alignment: Normalization with Concave Functions, Qiang Zhou
Theses/Dissertations from 2018
High Performance Sparse Multivariate Polynomials: Fundamental Data Structures and Algorithms, Alex Brandt
Predicting Software Fault Proneness Using Machine Learning, Sanjay Ghanathey
Baseline Assisted Classification of Heart Rate Variability, Elham Harirpoush
Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming, James Hughes
Tension Analysis in Survivor Interviews: A Computational Approach, Jumayel Islam
Citation Function and Polarity Classification in Biomedical Papers, Meng Jia
Efficient Alignment Algorithms for DNA Sequencing Data, Nilesh Vinod Khiste
Feature Based Calibration of a Network of Kinect Sensors, Xiaoyang Li
Computational Modelling of Human Transcriptional Regulation by an Information Theory-based Approach, Ruipeng Lu
SOL: Segmentation with Overlapping Labels, Karin Ng
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
Complexity Results for Fourier-Motzkin Elimination, Delaram Talaashrafi
Pelee: A Real-Time Object Detection System on Mobile Devices, Jun Wang
Putting Fürer's Algorithm into Practice with the BPAS Library, Linxiao Wang
Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts, Zhenyi Wang
Word Blending and Other Formal Models of Bio-operations, Zihao Wang
Learning Regularization Weight for CRF Optimization, Jiaxiao Wu
Theses/Dissertations from 2017
SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions, Muhammad S. Ahmed
Middleware Architecture for Sensing as a Service, Muhamed Alarbi
Patch-based Denoising Algorithms for Single and Multi-view Images, Monagi H. Alkinani
Computing Limit Points of Quasi-components of Regular Chains and its Applications, Parisa Alvandi
Using Machine Learning to Predict Chemotherapy Response in Cell Lines and Patients Based on Genetic Expression, Dimo Angelov
Visual Transfer Learning in the Absence of the Source Data, Shuang Ao
On the Extended Hensel Construction and its Application to the Computation of Real Limit Points, Masoud Ataei Jaliseh
Improving Long Term Stock Market Prediction with Text Analysis, Tanner A. Bohn
Resource Bound Guarantees via Programming Languages, Michael J. Burrell
Computer Vision Problems in 3D Plant Phenotyping, Ayan Chaudhury
MetaFork: A Compilation Framework for Concurrency Models Targeting Hardware Accelerators, Xiaohui Chen
Rendering real-time dashboards using a GraphQL-based UI Architecture, Naresh Eeda
Basic Science to Clinical Research: Segmentation of Ultrasound and Modelling in Clinical Informatics, Ali K. Hamou
Investigating Citation Linkage Between Research Articles, Kokou Hospice Houngbo
Optimal Decomposition Strategy For Tree Edit Distance, Shaofeng Jiang
Improving Deep Learning Image Recognition Performance Using Region of Interest Localization Networks, AbdulWahab Kabani
Turn Detection and Analysis of Turn Parameters for Driver Characterization, Jennifer Emily Knull
NBPMF: Novel Network-Based Inference Methods for Peptide Mass Fingerprinting, Zhewei Liang
Multi-View Ontology Explorer (MOE): Interactive Visual Exploration of Ontologies, Zhao Lin
Classification with Large Sparse Datasets: Convergence Analysis and Scalable Algorithms, Xiang Li
Correction of DNA Sequencing Data with Spaced Seeds, Stephen Lu
Mining of Primary Healthcare Patient Data with Selective Multimorbid Diseases, Annette Megerdichian Azad
Error Correction and de novo Genome Assembly of DNA Sequencing Data, Michael Z. Molnar
The Design of Interactive Visualizations and Analytics for Public Health Data, Oluwakemi Ola
The Recurrence-Based Analysis of Intracranial Pressure, Mahnaz Rabbani
Self-Assembly of Tiles: Theoretical Models, the Power of Signals, and Local Computing, Amirhossein Simjour
Solving Capacitated Data Storage Placement Problems in Sensor Networks, Zhenfei Wu
Detection and Recognition of Traffic Signs Inside the Attentional Visual Field of Drivers, Seyedjamal Zabihi
Developing Predictive Models of Driver Behaviour for the Design of Advanced Driving Assistance Systems, Seyed Mohsen Zabihi
Theses/Dissertations from 2016
Dynamically Testing Graphical User Interfaces, Santo Carino