This collection includes theses and dissertations from the Department of Computer Engineering and Computer Science, in the J.B. Speed School of Engineering. It is not exhaustive since most paper theses and dissertations have not been digitized. Generally, paper copies of theses and dissertations published prior to 2014 (Master of Engineering, prior to 2005) can be accessed in the University of Louisville Libraries. If you would like to add your thesis or dissertation to this collection, please fill out the Electronic Theses & Dissertations form.

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Theses/Dissertations from 2023

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Dynamic scene understanding: Pedestrian tracking from aerial devices., Abdelhamid Bouzid

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A data-driven multi-regime approach for predicting real-time energy consumption of industrial machines., Abdulgani Kahraman

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Guided data augmentation for improved semi-supervised image classification in low data regime., Fadoua Khmaissia

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CAD system for early diagnosis of diabetic retinopathy based on 3D extracted imaging markers., Ahmed Abdullah Hussein Sleman

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Evaluating chatGPT for recommendation: how does the ability to converse impact recommendation?, Kyle Spurlock

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Cannabidiol tweet miner: a framework for identifying misinformation In CBD tweets., Jason Turner

Theses/Dissertations from 2022

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Beyond accuracy in machine learning., Aneseh Alvanpour

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Computer aided diagnosis system for breast cancer using deep learning., Asma Baccouche

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New debiasing strategies in collaborative filtering recommender systems: modeling user conformity, multiple biases, and causality., Mariem Boujelbene

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New accurate, explainable, and unbiased machine learning models for recommendation with implicit feedback., Khalil Damak

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Solving the challenges of concept drift in data stream classification., Hanqing Hu

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Machine learning approaches for early prediction of hypertension., Heba Elsayed Mohamed Kandil

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Modeling and debiasing feedback loops in collaborative filtering recommender systems., Sami Khenissi

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Role of machine learning in early diagnosis of kidney diseases., Mohamed Nazih Mohamed Ibrahim Shehata

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IoT in smart communities, technologies and applications., Muhammad Zaigham Abbas Shah Syed

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Discovering the pathways and GO terms associated with Mettl3 modified circular RNAs in the embryonic cerebral cortex of mice., Dunia Zedan

Theses/Dissertations from 2021

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Restaurant style prediction using Word2vec and support vector machine., Saleh Abdullah Almohaimeed

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Linking social media, medical literature, and clinical notes using deep learning., Mohsen Asghari

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Multilateration index., Chip Lynch

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Lightweight mutual authentication and privacy preservation schemes for IOT systems., Samah Mansour

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Signal fingerprinting and machine learning framework for UAV detection and identification., Olusiji Oloruntobi Medaiyese

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Lung nodules identification in CT scans using multiple instance learning., Wiem Safta

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Cosine-based explainable matrix factorization for collaborative filtering recommendation., Pegah Sagheb Haghighi

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Computational frameworks for microRNA functional analysis of inter-kingdom and indirect targeting., Mohammed Sayed

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Multi-style explainable matrix factorization techniques for recommender systems., Olurotimi Nugbepo Seton

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Machine learning approaches for lung cancer diagnosis., Ahmed Mahmoud Ahmed Shaffie

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Local feature selection for multiple instance learning with applications., Aliasghar Shahrjooihaghighi

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Understanding and Avoiding AI Failures: A Practical Guide., Robert Max C Williams

Theses/Dissertations from 2020

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Automatic target recognition with convolutional neural networks., Nada Baili

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Automatic target recognition with deep metric learning., Abdelhamid Bouzid

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Computational techniques in medical image analysis application for white blood cells classification., Omar Dekhil

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Computational behavioral analytics: estimating psychological traits in foreign languages., Kristopher Wayne Reese

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Exploring Information for Quantum Machine Learning Models, Michael Telahun

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Imparting 3D representations to artificial intelligence for a full assessment of pressure injuries., Sofia Zahia

Theses/Dissertations from 2019

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An explainable recommender system based on semantically-aware matrix factorization., Mohammed Sanad Alshammari

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Clustering heterogeneous autism spectrum disorder data., Mariem Boujelbene

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An explainable sequence-based deep learning predictor with applications to song recommendation and text classification., Khalil Damak

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Segmentation and classification of lung nodules from Thoracic CT scans : methods based on dictionary learning and deep convolutional neural networks., Mohammad Mehdi Farhangi

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Clustering of multiple instance data., Andrew D. Karem

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Modeling and counteracting exposure bias in recommender systems., Sami Khenissi

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Formally designing and implementing cyber security mechanisms in industrial control networks., Mehdi Sabraoui

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Studying and handling iterated algorithmic biases in human and machine learning interaction., Wenlong Sun

Theses/Dissertations from 2018

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A transfer learning approach for sentiment classification., Omar Abdelwahab

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Automatic IQ estimation using stylometry methods., Polina Shafran Abramov

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End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning., Mohamed Chaabane

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Network science algorithms for mobile networks., Heba Mohamed Elgazzar

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Cognitive performance application., Shade EL-Hadik

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Horse racing prediction using graph-based features., Mehmet Akif Gulum

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Maintainability analysis of mining trucks with data analytics., Abdulgani Kahraman

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Designing interactive virtual environments with feedback in health applications., Yi Li

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Spam elimination and bias correction : ensuring label quality in crowdsourced tasks., Lingyu Lyu

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A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection., Anju Panicker Madhusoodhanan Sathik

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Landmine detection using semi-supervised learning., Graham Reid

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Region based gene expression via reanalysis of publicly available microarray data sets., Ernur Saka

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Machine learning for omics data analysis., Ameni Trabelsi

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Robust fuzzy clustering for multiple instance regression., Mohamed Trabelsi

Theses/Dissertations from 2017

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Accurate and justifiable : new algorithms for explainable recommendations., Behnoush Abdollahi

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A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom., Asuman Cagla Acun Sener

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Uncovering exceptional predictions using exploratory analysis of second stage machine learning., Aneseh Alvanpour

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Peeking into the other half of the glass : handling polarization in recommender systems., Mahsa Badami

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Data driven discovery of materials properties., Fadoua Khmaissia

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Developing computer vision technology to automate pitch analysis in baseball., Mahdi Moalla

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Authorship identification of translation algorithms., Keishin Nishiyama

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A framework for clustering and adaptive topic tracking on evolving text and social media data streams., Gopi Chand Nutakki

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An interactive interface for nursing robots., Ankita Sahu

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Dynamic adversarial mining - effectively applying machine learning in adversarial non-stationary environments., Tegjyot Singh Sethi

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Vehicle make and model recognition for intelligent transportation monitoring and surveillance., Faezeh Tafazzoli

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Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety., Sajjad Torabian Esfahani

Theses/Dissertations from 2016

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A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data., Elaheh Arabmakki

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An adaptable fuzzy-based model for predicting link quality in robot networks., Christopher J. Lowrance

Theses/Dissertations from 2015

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A forensics software toolkit for DNA steganalysis., Marc Bjoern Beck

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Multiple instance fuzzy inference., Amine Ben Khalifa

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Exclusive-or preprocessing and dictionary coding of continuous-tone images., Takiyah K. Cooper

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An island-based approach for RNA-SEQ differential expression analysis., Abdallah Eteleeb

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Speech data analysis for semantic indexing of video of simulated medical crises., Shuangshuang Jiang

Theses/Dissertations from 2014

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Text stylometry for chat bot identification and intelligence estimation., Nawaf Ali

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Temporal contextual descriptors and applications to emotion analysis., Haythem Balti

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Avatar captcha : telling computers and humans apart via face classification and mouse dynamics., Darryl Felix D’Souza

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A non-invasive image based system for early diagnosis of prostate cancer., Ahmad Abdusalam Firjani Firjani Naef

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Ensemble learning method for hidden markov models., Anis Hamdi

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Context dependent spectral unmixing., Hamdi Jenzri

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A novel NMF-based DWI CAD framework for prostate cancer., Patrick McClure

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Privacy protection in context aware systems., Anala Aniruddha Pandit

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SDSF : social-networking trust based distributed data storage and co-operative information fusion., Phani Chakravarthy Polina

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Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis., Surangkana Rawungyot

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Image based approach for early assessment of heart failure., Hisham Z. Sliman

Theses/Dissertations from 2013

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An inter-domain supervision framework for collaborative clustering of data with mixed types., Artur Abdullin

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Unsupervised and semi-supervised fuzzy clustering with multiple kernels., Naouel Baili

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Stream-dashboard : a big data stream clustering framework with applications to social media streams., Basheer Hawwash 1984-

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Network tomography application in mobile ad-hoc networks., Mohammad Shoeb Saeed Khan

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Face recognition using statistical adapted local binary patterns., Abdallah Abd-Elghafar Mohamed

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Modified half-edge data structure and its applications to 3D mesh generation for complex tube networks., Richard Paris

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The GC3 framework : grid density based clustering for classification of streaming data with concept drift., Tegjyot Singh Sethi

Theses/Dissertations from 2012

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3D visualization of in-flight recorded data., Gyuchoon Cho 1975-

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A submodular optimization framework for never-ending learning : semi-supervised, online, and active learning., Wael Emara

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Bayesian nonparametric clusterings in relational and high-dimensional settings with applications in bioinformatics., Dazhuo Li

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Hand gesture recognition using Kinect., Yi Li 1989-

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Parallelizing a network intrusion detection system using a GPU., Anju Panicker Madhusoodhanan Sathik 1984-

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Embedded non-interactive CAPTCHA for Fischer Random Chess., Ryan McDaniel

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A systems-based approach for detecting molecular interactions across tissues., Fahim Mohammad