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Deep Learning Optimization and Acceleration

Description: The novelty of this dissertation is the optimization and acceleration of deep neural networks aimed at real-time predictions with minimal energy consumption. It consists of cross-layer optimization, output directed dynamic quantization, and opportunistic near-data computation for deep neural network acceleration. On two datasets (CIFAR-10 and CIFAR-100), the proposed deep neural network optimization and acceleration frameworks are tested using a variety of Convolutional neural networks (e.g., L… more
This item is restricted from view until September 1, 2024.
Date: August 2022
Creator: Jiang, Beilei
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Scalable Next Generation Blockchains for Large Scale Complex Cyber-Physical Systems and Their Embedded Systems in Smart Cities

Description: The original FlexiChain and its descendants are a revolutionary distributed ledger technology (DLT) for cyber-physical systems (CPS) and their embedded systems (ES). FlexiChain, a DLT implementation, uses cryptography, distributed ledgers, peer-to-peer communications, scalable networks, and consensus. FlexiChain facilitates data structure agreements. This thesis offers a Block Directed Acyclic Graph (BDAG) architecture to link blocks to their forerunners to speed up validation. These data block… more
Date: July 2023
Creator: Alkhodair, Ahmad Jamal M
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Improving Communication and Collaboration Using Artificial Intelligence: An NLP-Enabled Pair Programming Collaborative-ITS Case Study

Description: This dissertation investigates computational models and methods to improve collaboration skills among students. The study targets pair programming, a popular collaborative learning practice in computer science education. This research led to the first machine learning models capable of detecting micromanagement, exclusive language, and other types of collaborative talk during pair programming. The investigation of computational models led to a novel method for adapting pretrained language model… more
Date: July 2023
Creator: Ubani, Solomon
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

A Platform for Aligning Academic Assessments to Industry and Federal Job Postings

Description: The proposed tool will provide users with a platform to access a side-by-side comparison of classroom assessment and job posting requirements. Using techniques and methodologies from NLP, machine learning, data analysis, and data mining: the employed algorithm analyzes job postings and classroom assessments, extracts and classifies skill units within, then compares sets of skills from different input volumes. This effectively provides a predicted alignment between academic and career sources, b… more
Date: July 2023
Creator: Parks, Tyler J.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Toward Leveraging Artificial Intelligence to Support the Identification of Accessibility Challenges

Description: The goal of this thesis is to support the automated identification of accessibility in user reviews or bug reports, to help technology professionals prioritize their handling, and, thus, to create more inclusive apps. Particularly, we propose a model that takes as input accessibility user reviews or bug reports and learns their keyword-based features to make a classification decision, for a given review, on whether it is about accessibility or not. Our empirically driven study follows a mixture… more
Date: May 2023
Creator: Aljedaani, Wajdi Mohammed R M., Sr.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content

Description: Hateful content and offensive language are commonplace on social media platforms. Many surveys prove that high percentages of social media users experience online harassment. Previous efforts have been made to detect and remove online hate content automatically. However, removing users' content restricts free speech. A complementary strategy to address hateful content that does not interfere with free speech is to counter the hate with new content to divert the discourse away from the hate. In … more
This item is restricted from view until June 1, 2025.
Date: May 2023
Creator: Albanyan, Abdullah Abdulaziz
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Evaluating Stack Overflow Usability Posts in Conjunction with Usability Heuristics

Description: This thesis explores the critical role of usability in software development and uses usability heuristics as a cost-effective and efficient method for evaluating various software functions and interfaces. With the proliferation of software development in the modern digital age, developing user-friendly interfaces that meet the needs and preferences of users has become a complex process. Usability heuristics, a set of guidelines based on principles of human-computer interaction, provide a starti… more
This item is restricted from view until June 1, 2024.
Date: May 2023
Creator: Jalali, Hamed
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Multiomics Data Integration and Multiplex Graph Neural Network Approaches

Description: With increasing data and technology, multiple types of data from the same set of nodes have been generated. Since each data modality contains a unique aspect of the underlying mechanisms, multiple datatypes are integrated. In addition to multiple datatypes, networks are important to store information representing associations between entities such as genes of a protein-protein interaction network and authors of a citation network. Recently, some advanced approaches to graph-structured data leve… more
This item is restricted from view until June 1, 2025.
Date: May 2023
Creator: Kesimoglu, Ziynet Nesibe
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Blockchain for AI: Smarter Contracts to Secure Artificial Intelligence Algorithms

Description: In this dissertation, I investigate the existing smart contract problems that limit cognitive abilities. I use Taylor's serious expansion, polynomial equation, and fraction-based computations to overcome the limitations of calculations in smart contracts. To prove the hypothesis, I use these mathematical models to compute complex operations of naive Bayes, linear regression, decision trees, and neural network algorithms on Ethereum public test networks. The smart contracts achieve 95\% predict… more
Date: July 2023
Creator: Badruddoja, Syed
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Deep Learning Approaches to Radio Map Estimation

Description: Radio map estimation (RME) is the task of predicting radio power at all locations in a two-dimensional area and at all frequencies in a given band. This thesis explores four deep learning approaches to RME: dual path autoencoders, skip connection autoencoders, diffusion, and joint learning with transmitter localization.
Date: July 2023
Creator: Locke IV, William Alexander
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Paradigm Shift from Vague Legal Contracts to Blockchain-Based Smart Contracts

Description: In this dissertation, we address the problem of vagueness in traditional legal contracts by presenting novel methodologies that aid in the paradigm shift from traditional legal contracts to smart contracts. We discuss key enabling technologies that assist in converting the traditional natural language legal contract, which is full of vague words, phrases, and sentences to the blockchain-based precise smart contract, including metrics evaluation during our conversion experiment. To address the c… more
Date: July 2023
Creator: Upadhyay, Kritagya Raj
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Reinforcement Learning-Based Test Case Generation with Test Suite Prioritization for Android Application Testing

Description: This dissertation introduces a hybrid strategy for automated testing of Android applications that combines reinforcement learning and test suite prioritization. These approaches aim to improve the effectiveness of the testing process by employing reinforcement learning algorithms, namely Q-learning and SARSA (State-Action-Reward-State-Action), for automated test case generation. The studies provide compelling evidence that reinforcement learning techniques hold great potential in generating tes… more
Date: July 2023
Creator: Khan, Md Khorrom
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

A Top-Down Policy Engineering Framework for Attribute-Based Access Control

Description: The purpose of this study is to propose a top-down policy engineering framework for attribute-based access control (ABAC) that aims to automatically extract ACPs from requirement specifications documents, and then, using the extracted policies, build or update an ABAC model. We specify a procedure that consists of three main components: 1) ACP sentence identification, 2) policy element extraction, and 3) ABAC model creation and update. ACP sentence identification processes unrestricted natural … more
Date: May 2020
Creator: Narouei, Masoud
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Privacy Preserving Machine Learning as a Service

Description: Machine learning algorithms based on neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provide solutions for running deep neural networks over encrypted data. In this paper, we develop new techniques to adopt deep neural networks within the practical limitation of current homomorphic encrypt… more
Date: May 2020
Creator: Hesamifard, Ehsan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning

Description: Intelligent transportation systems (ITS) are essential tools for traffic planning, analysis, and forecasting that can utilize the huge amount of traffic data available nowadays. In this work, we aggregated detailed traffic flow sensor data, Waze reports, OpenStreetMap (OSM) features, and weather data, from California Bay Area for 6 months. Using that data, we studied three novel ITS applications using convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The first experimen… more
Date: May 2020
Creator: Alammari, Ali
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Encrypted Collaborative Editing Software

Description: Cloud-based collaborative editors enable real-time document processing via remote connections. Their common application is to allow Internet users to collaboratively work on their documents stored in the cloud, even if these users are physically a world apart. However, this convenience comes at a cost in terms of user privacy. Hence, the growth of popularity of cloud computing application stipulates the growth in importance of cloud security. A major concern with the cloud is who has access to … more
Date: May 2020
Creator: Tran, Augustin
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Multi-Source Large Scale Bike Demand Prediction

Description: Current works of bike demand prediction mainly focus on cluster level and perform poorly on predicting demands of a single station. In the first task, we introduce a contextual based bike demand prediction model, which predicts bike demands for per station by combining spatio-temporal network and environment contexts synergistically. Furthermore, since people's movement information is an important factor, which influences the bike demands of each station. To have a better understanding of peopl… more
Date: May 2020
Creator: Zhou, Yang
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Determining Event Outcomes from Social Media

Description: An event is something that happens at a time and location. Events include major life events such as graduating college or getting married, and also simple day-to-day activities such as commuting to work or eating lunch. Most work on event extraction detects events and the entities involved in events. For example, cooking events will usually involve a cook, some utensils and appliances, and a final product. In this work, we target the task of determining whether events result in their expected o… more
Date: May 2020
Creator: Murugan, Srikala
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Frameworks for Attribute-Based Access Control (ABAC) Policy Engineering

Description: In this disseration we propose semi-automated top-down policy engineering approaches for attribute-based access control (ABAC) development. Further, we propose a hybrid ABAC policy engineering approach to combine the benefits and address the shortcomings of both top-down and bottom-up approaches. In particular, we propose three frameworks: (i) ABAC attributes extraction, (ii) ABAC constraints extraction, and (iii) hybrid ABAC policy engineering. Attributes extraction framework compris… more
Date: August 2020
Creator: Alohaly, Manar
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Kriging Methods to Exploit Spatial Correlations of EEG Signals for Fast and Accurate Seizure Detection in the IoMT

Description: Epileptic seizure presents a formidable threat to the life of its sufferers, leaving them unconscious within seconds of its onset. Having a mortality rate that is at least twice that of the general population, it is a true cause for concern which has gained ample attention from various research communities. About 800 million people in the world will have at least one seizure experience in their lifespan. Injuries sustained during a seizure crisis are one of the leading causes of death in epilep… more
Date: August 2020
Creator: Olokodana, Ibrahim Latunde
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Understanding and Addressing Accessibility Barriers Faced by People with Visual Impairments on Block-Based Programming Environments

Description: There is an increased use of block-based programming environments in K-12 education and computing outreach activities to introduce novices to programming and computational thinking skills. However, despite their appealing design that allows students to focus on concepts rather than syntax, block-based programming by design is inaccessible to people with visual impairments and people who cannot use the mouse. In addition to this inaccessibility, little is known about the instructional experience… more
Date: December 2022
Creator: Mountapmbeme, Aboubakar
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Improving Memory Performance for Both High Performance Computing and Embedded/Edge Computing Systems

Description: CPU-memory bottleneck is a widely recognized problem. It is known that majority of high performance computing (HPC) database systems are configured with large memories and dedicated to process specific workloads like weather prediction, molecular dynamic simulations etc. My research on optimal address mapping improves the memory performance by increasing the channel and bank level parallelism. In an another research direction, I proposed and evaluated adaptive page migration techniques that o… more
Date: December 2021
Creator: Adavally, Shashank
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Machine-Learning-Enabled Cooperative Perception on Connected Autonomous Vehicles

Description: The main research objective of this dissertation is to understand the sensing and communication challenges to achieving cooperative perception among autonomous vehicles, and then, using the insights gained, guide the design of the suitable format of data to be exchanged, reliable and efficient data fusion algorithms on vehicles. By understanding what and how data are exchanged among autonomous vehicles, from a machine learning perspective, it is possible to realize precise cooperative perceptio… more
Date: December 2021
Creator: Guo, Jingda
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

SIMON: A Domain-Agnostic Framework for Secure Design and Validation of Cyber Physical Systems

Description: Cyber physical systems (CPS) are an integration of computational and physical processes, where the cyber components monitor and control physical processes. Cyber-attacks largely target the cyber components with the intention of disrupting the functionality of the components in the physical domain. This dissertation explores the role of semantic inference in understanding such attacks and building resilient CPS systems. To that end, we present SIMON, an ontological design and verification framew… more
Date: December 2021
Creator: Yanambaka Venkata, Rohith
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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