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open access

FruitPAL: An IoT-Enabled Framework for Automatic Monitoring of Fruit Consumption in Smart Healthcare

Description: This research proposes FruitPAL and FruitPAL 2.0. They are full automatic devices that can detect fruit consumption to reduce the risk of disease. Allergies to fruits can seriously impair the immune system. A novel device (FruitPAL) detecting fruit that can cause allergies is proposed in this thesis. The device can detect fifteen types of fruit and alert the caregiver when an allergic reaction may have happened. The YOLOv8 model is employed to enhance accuracy and response time in detecting dan… more
Date: December 2023
Creator: Alkinani, Abdulrahman Ibrahim M.
Partner: UNT Libraries
open access

Using Blockchain to Ensure Reputation Credibility in Decentralized Review Management

Description: In recent years, there have been incidents which decreased people's trust in some organizations and authorities responsible for ratings and accreditation. For a few prominent examples, there was a security breach at Equifax (2017), misconduct was found in the Standard & Poor's Ratings Services (2015), and the Accrediting Council for Independent Colleges and Schools (2022) validated some of the low-performing schools as delivering higher standards than they actually were. A natural solution to t… more
Date: December 2023
Creator: Zaccagni, Zachary James
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
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
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
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
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.
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
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
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
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
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
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.
Partner: UNT Libraries

Integrating Multiple Deep Learning Models for Disaster Description in Low-Altitude Videos

Description: Computer vision technologies are rapidly improving and becoming more important in disaster response. The majority of disaster description techniques now focus either on identify objects or categorize disasters. In this study, we trained multiple deep neural networks on low-altitude imagery with highly imbalanced and noisy labels. We utilize labeled images from the LADI dataset to formulate a solution for general problem in disaster classification and object detection. Our research integrated an… more
Date: December 2022
Creator: Wang, Haili
Partner: UNT Libraries
open access

Machine Learning Methods for Data Quality Aspects in Edge Computing Platforms

Description: In this research, three aspects of data quality with regard to artifical intelligence (AI) have been investigated: detection of misleading fake data, especially deepfakes, data scarcity, and data insufficiency, especially how much training data is required for an AI application. Different application domains where the selected aspects pose issues have been chosen. To address the issues of data privacy, security, and regulation, these solutions are targeted for edge devices. In Chapter 3, two so… more
Date: December 2022
Creator: Mitra, Alakananda
Partner: UNT Libraries

Registration of Point Sets with Large and Uneven Non-Rigid Deformation

Description: Non-rigid point set registration of significantly uneven deformations is a challenging problem for many applications such as pose estimation, three-dimensional object reconstruction, human movement tracking. In this dissertation, we present a novel probabilistic non-rigid registration method to align point sets with significantly uneven deformations by enforcing constraints from corresponding key points and preserving local neighborhood structures. The registration method is treated as a densit… more
This item is restricted from view until January 1, 2025.
Date: December 2022
Creator: Maharjan, Amar Man
Partner: UNT Libraries
open access

Reliability and Throughput Improvement in Vehicular Communication by Using 5G Technologies

Description: The vehicular community is moving towards a whole new paradigm with the advancement of new technology. Vehicular communication not only supports safety services but also provides non-safety services like navigation support, toll collection, web browsing, media streaming, etc. The existing communication frameworks like Dedicated Short Range Communication (DSRC) and Cellular V2X (C-V2X) might not meet the required capacity in the coming days. So, the vehicular community needs to adopt new technol… more
Date: December 2022
Creator: Dey, Utpal-Kumar
Partner: UNT Libraries

Secure and Decentralized Data Cooperatives via Reputation Systems and Blockchain

Description: This dissertation focuses on a novel area of secure data management referred to as data cooperatives. A data cooperative solution promises its users better protection and control of their personal data as compared to the traditional way of their handling by the data collectors (such as governments, big data companies, and others). However, despite the many interesting benefits that the data cooperative approach tends to provide its users, it suffers from a few challenges hindering its developme… more
This item is restricted from view until January 1, 2025.
Date: December 2022
Creator: Salau, Abiola
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
Partner: UNT Libraries

Understanding and Reasoning with Negation

Description: In this dissertation, I start with an analysis of negation in eleven benchmark corpora covering six Natural Language Understanding (NLU) tasks. With a thorough investigation, I first show that (a) these benchmarks contain fewer negations compared to general-purpose English and (b) the few negations they contain are often unimportant. Further, my empirical studies demonstrate that state-of-the-art transformers trained using these corpora obtain substantially worse results with the instances that… more
This item is restricted from view until January 1, 2025.
Date: December 2022
Creator: Hossain, Md Mosharaf
Partner: UNT Libraries

Advanced Stochastic Signal Processing and Computational Methods: Theories and Applications

Description: Compressed sensing has been proposed as a computationally efficient method to estimate the finite-dimensional signals. The idea is to develop an undersampling operator that can sample the large but finite-dimensional sparse signals with a rate much below the required Nyquist rate. In other words, considering the sparsity level of the signal, the compressed sensing samples the signal with a rate proportional to the amount of information hidden in the signal. In this dissertation, first, we emplo… more
Date: August 2022
Creator: Robaei, Mohammadreza
Partner: UNT Libraries

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
Partner: UNT Libraries

Helping Students with Upper Limb Motor Impairments Program in a Block-Based Programming Environment Using Voice

Description: Students with upper body motor impairments, such as cerebral palsy, multiple sclerosis, ALS, etc., face challenges when learning to program in block-based programming environments, because these environments are highly dependent on the physical manipulation of a mouse or keyboard to drag and drop elements on the screen. In my dissertation, I make the block-based programming environment Blockly, accessible to students with upper body motor impairment by adding speech as an alternative form of in… more
Date: August 2022
Creator: Okafor, Obianuju Chinonye
Partner: UNT Libraries

Autonomic Zero Trust Framework for Network Protection

Description: With the technological improvements, the number of Internet connected devices is increasing tremendously. We also observe an increase in cyberattacks since the attackers want to use all these interconnected devices for malicious intention. Even though there exist many proactive security solutions, it is not practical to run all the security solutions on them as they have limited computational resources and even battery operated. As an alternative, Zero Trust Architecture (ZTA) has become popula… more
Date: May 2022
Creator: Durflinger, James
Partner: UNT Libraries
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