Digital Commons Network^™

Telu Activation Function For Fast And Stable Deep Learning, Alfredo Fernandez

USF Tampa Graduate Theses and Dissertations

We propose the Hyperbolic Tangent Exponential Linear Unit (TeLU), a neural network hidden activation function defined as $TeLU(x)=x \cdot tanh(e^x)$. TeLU’s design is grounded in the core principles of key activation functions, achieving strong convergence by closely approximating the identity function in its active region while effectively mitigating the vanishing gradient problem in its saturating region. Its simple formulation enhances computational efficiency, leading to improvements in scalability and convergence speed. Unlike many modern activation functions, TeLU seamlessly combines the simplicity and effectiveness of ReLU with the smoothness and analytic properties essential for learning stability in deep neural networks. TeLU’s ability …

Exploring Llm Integration And Its Influence On Agent Behavior And Productivity In Insurance Call Centers, Gerardo L. Wibmer Gonzalez

USF Tampa Graduate Theses and Dissertations

This study investigates the theoretical impacts of supportive AI tools, specifically Large Language Models (LLMs), on agent behavior and communication dynamics in call centers. While technological advancements have streamlined operations, limited research addresses the indirect ways these tools influence agent behavior. Using frameworks like context switching—the cognitive shift required when external stimuli prompt attention shifts—and the Hawthorne effect, where perceived observation modifies behavior, we examine how LLMs shape communication patterns. In call centers, this context switching occurs indirectly as agents adapt to AI note-taking features, whereas in industries like Architecture, Engineering, and Construction (AEC), automation tools prompt more immediate changes …

The Impact Of Hearing Aid User Speech On Environment Classification And Own Voice Listener Preferences, Robert Andrew Budinsky Iii

USF Tampa Graduate Theses and Dissertations

Hearing aids (HA) have improved over the past few decades with advanced signal processing, such as environment classification and background noise reduction, but are still limited by challenges related to when the user is speaking. These challenges include the potential interference a HA user’s voice has on device environment classification and the potential influence a HA has on own voice (OV) sound quality. However, the effects of OV on HA environment classification and signal processing are not well established, nor are the desired HA program settings regarding OV listening preferences. In this study, a combination of electroacoustic and behavioral methods …

Emergent Magnetism And Magneto-Transport Phenomena In Helimagnet-Based Heterostructures For Spin-Based Device Applications, Nivarthana Waruni Yapa Abeyrathna Yapa Mudiyanselage

USF Tampa Graduate Theses and Dissertations

The study of magnetoresistance (MR) phenomena in magnetic materials has been pivotal for advancing magnetic sensors and spintronic devices. Helimagnets, characterized by a non-collinear arrangement of magnetic moments that form a helical or spiral configuration, present an intriguing avenue for MR-based device applications. Theoretical predictions suggest that the MR magnitude in the helimagnetic (HM) regime can exceed that in the ferromagnetic (FM) regime by over an order of magnitude. However, in metallic helimagnets like manganese phosphide (MnP), the MR in the HM phase remains modest (< 10%), limiting its applicability in MR devices. This dissertation investigates the emergent magnetism and magneto-transport phenomena in nanostructured MnP helimagnets and their interfaces with ferromagnets (Fe) and ferrimagnets (Fe3O4), aiming to enhance device performance.

In the first part of the dissertation, we present a novel approach to achieve …

Development Of A Coating For Radiative Cooling Of Buildings, Sudhansh Pramod Harkut

USF Tampa Graduate Theses and Dissertations

This thesis investigates passive daytime radiative cooling (PDRC), aiming to enhance cooling efficiency for building applications. The study addresses the pressing need for effective and cost-efficient cooling solutions to mitigate global warming and reduce energy consumption. The research begins with a detailed literature review, tracing the evolution of radiative cooling materials and identifying existing research gaps. Experimental investigations involved testing various coatings, including combinations of aluminium phosphate, sodium silicate, polyvinylidene fluoride (PVDF), and wollastonite. Among the tested configurations, an acrylic-based coating incorporating barium sulphate (BaSO4) and calcium carbonate (CaCO3) was found to maintain temperatures around ambient levels under intense solar …

Ai-Enabled Methodological Frameworks To Enhance The Robustness Of Machine Learning Models In Various Domains And Dynamic Environments, Mohammad Noroozi

USF Tampa Graduate Theses and Dissertations

This dissertation explores novel approaches to address complex challenges in various domains, focusing on ensuring that machine learning (ML) models can reliably detect both the data they are trained on and unseen data. Reliable detection of unfamiliar inputs is critical for deploying models in real-world applications, where performance can degrade when faced with novel or unexpected information. Each domain addressed in this work introduces a set of contributions aimed at enhancing model performance, broadening generalization through diverse training data, and improving robustness against adversarial attacks. Three sets of contributions are presented, each encapsulated in a chapter.

One of the contributions …

Deep Reinforcement Learning For Adaptive Network Slicing In 5g For Intelligent Vehicular Systems And Smart Cities, Almuthanna Nassar, Yasin Yilmaz

USF Patents

Systems and methods for processing a service request within a network environment can include a first cluster of fog nodes that execute service tasks. The cluster can include a primary fog node and nearest neighbor fog nodes. The primary fog node can receive, from the network, a service request, determine service request resource data that includes a first time, quantity of resource blocks required to serve the request, and a hold time required to serve the request locally. An edge controller, connected to the network and the first cluster, can receive, from the primary fog node, the service request resource …

Satellite-Based Mapping Of Seagrass Habitats And Coastal Wetlands In The Us Gulf Of Mexico And Florida: A Remote Sensing Approach For Environmental Conservation And Management, Luis Lizcano-Sandoval

USF Tampa Graduate Theses and Dissertations

Coastal wetlands and seagrass meadows provide multiple services to nature and human society, but their spatial and temporal changes are often not well characterized. They are habitats that are threatened by natural and human causes such as changes in water quality, urban development, pollution, and climate change, among others. Coastal ecosystems rely on water quality and sea level variability for survival, and changes in those variables and their potential effects are of concern to many coastal communities. Satellite remote sensing is a powerful tool that has been used for mapping ecosystem distribution on land and in the ocean. Satellite sensors …

Evaluation Of Green Supercapacitor For Low Pass Rc Filter Implementation, Ramakrishna Kanneganti

USF Tampa Graduate Theses and Dissertations

The need for use of sustainable and eco-friendly methods and processes in electronics is the need of the hour. The demand for electronics is growing by the day, consequently the use of passive components such as capacitors, resistors, and inductors is ever growing. It is desirable to manufacture and utilize passive components that are easily disposable and are biodegradable. Our research focuses on evaluating PolyMaterials APP’s supercapacitor in RC filter circuits replacing the conventional capacitor. The evaluated supercapacitor is biodegradable and does not use any heavy or contaminating metals. In this work, we have successfully evaluated various green supercapacitor component …

Self-Doubt: Impostor Phenomenon And The Doctoral Seeking School-Based Leader, Rose Apollon-Simon

USF Tampa Graduate Theses and Dissertations

This qualitative narrative inquiry explores the experiences of school-based administrators in K-12 public school settings within the state of Florida who navigate the challenges of Impostor Phenomenon while concurrently pursuing a doctoral degree. The research draws on the personal stories of four participants—three women and one man—who are currently or previously employed as principals or assistant principals. The study focused on how participants manage the psychological tensions coming from their experiences with Impostor Phenomenon or the persistent self-doubt and the fear of being exposed as a fraud. While most Impostor Phenomenon research has concentrated on fields like business, medicine, and …

On The Role Of Prediction In Streaming Hierarchical Learning, Ramy Mounir

USF Tampa Graduate Theses and Dissertations

In today's world, AI systems need to make sense of large amounts of data as it unfolds in real-time, whether it's a video from surveillance and monitoring cameras, streams of egocentric footage, or sequences in other domains such as text or audio. The ability to break these continuous data streams into meaningful events, discover nested structures, and predict what might happen next at different levels of abstraction is crucial for applications ranging from passive surveillance systems to sensory-motor autonomous learning. However, most existing models rely heavily on large, annotated datasets with fixed data distributions and offline epoch-based training, which makes …

Enhancing Post Silicon Visibility Using Language Modelling Techniques, Nathaniel Joseph Fender

USF Tampa Graduate Theses and Dissertations

The debugging phase is a critical time in the development of a new system on chip product. Specifically, the post-silicon validation phase is one of the most important, as it allows engineers to test the behavior of a device in a real world setting. However, the issue of noisy or incomplete data is a frequent issue when attempting to debug an SoC design during this step. This thesis examines the utility of utilizing machine learning models for the purpose of repairing missing data in a system trace. We trained various models using the transformer architecture to identify missing data in …

Predicting Human Chess Moves With Large Language Models, Benjamin Kreiger

USF Tampa Graduate Theses and Dissertations

As artificial intelligence (AI) surpasses human performance in more tasks, the interest in leveraging and collaborating with this technology for greater productivity continues to grow. However, the black-box nature of current AI can make it difficult to interpret and unsuitable to perform tasks that are more complex and require human intuition. This has led to the pursuit of AI systems that can model individual behavior. Chess offers an ideal environment to explore this task due to its complexity, structure, and the abundance of data containing unique human decision-making examples. Given that a chess game can be fully represented with text, …

Optimizing Hidden Neurons In Multilayer Perceptrons With A Hybrid Feature Selection Approach For Classification Tasks, Susmitha Boyidapu

USF Tampa Graduate Theses and Dissertations

Identifying the ideal number of hidden neurons in multilayer perceptron (MLP) networks remains an ongoing challenge in the field of machine learning. Our research presents an innovative strategy to address this issue by combining data preprocessing, feature selection by a hybrid method, and a methodical approach to MLP architecture design. The extracted features through feature selection help to construct MLP architecture and implement k-fold cross-validation along with early stopping mechanism for finding optimal number of hidden neurons. Our method's key innovation is its capacity to dynamically adjust the hidden neuron count while optimizing model performance. Through iterative refinement of the …

Infiltration Of Immune Cells And Lipid Nanoparticle-Mediated Drug Delivery In A Skin Cancer Model, Aynur Sanem Yilmaz

USF Tampa Graduate Theses and Dissertations

Melanoma, the deadliest form of skin cancer, is notorious for its rapid mutation rate and high potential for metastasis, making effective treatment particularly challenging. Immunotherapy has emerged as a significant advancement in melanoma therapy, leveraging the immune system to target and eliminate cancer cells. These achievements have motivated further investigation into immune system-based strategies for this aggressive cancer. Cell-based drug delivery has been primarily achieved by either using immune cells as direct carriers for therapeutics or by employing active molecules through drug delivery systems, most often nanoparticles. While immune cells exhibit innate tumor-homing abilities, they face challenges such as limited …

Side-Channel Analysis Platform For A Hardware Implementation Of Fips 203 (Crystals-Kyber), Mohamed Mossad

USF Tampa Graduate Theses and Dissertations

In 2024, NIST selected the Post-Quantum Cryptography algorithm CRYSTALS-Kyber for standardization as a public-key encryption, key establishment scheme. CRYSTALS-Kyber was standardized under the Federal Information Processing Standard (FIPS), specifically FIPS 203. FIPS standards represent a set of guidelines, developed by NIST, for secure data handling in federal information systems, mandating cryptographic algorithms that protect sensitive information. This highlights the importance of identifying potential vulnerabilities in the algorithm and assessing how CRYSTALS-Kyber implementations react to hardware side channel attacks. Previous research identified several vulnerabilities in implementations of CRYSTALS-Kyber in software, which were addressed in subsequent releases. This thesis focuses on expanding …

Biodegradable And Green Controlled Release Formulations For Fertilizers, Srivalli Sriperambudur

USF Tampa Graduate Theses and Dissertations

This study aims to address environmental concerns associated with conventional fertilizers, and the persistence of synthetic polymers in soils and investigates the use of biodegradable cellulose esters as sustainable coatings for controlled-release fertilizers (CRFs). The focus is mainly on the synthesis of biodegradable cellulose esters as sustainable coatings for CRFs and applied as a coating on urea fertilizer prills to control nutrient release. The synthesized biodegradable coatings aim to provide effective nutrient delivery over time while minimizing environmental impact. Cellulose esters were synthesized using both saturated and unsaturated fatty acids, followed by crosslinking using thiols. Characterization techniques like FTIR, DSC, …

Learning Peer Support Interactions Via Bi-Lstm Graph Neural Networks For Suicide Risk Prediction, Harikrishna Marampelly

USF Tampa Graduate Theses and Dissertations

Suicide prevention through early detection using social media data has been widely studied. However, the critical role of peer support interactions among individuals with similar mental disorders has not been deeply investigated or explored. In this study, we explore peer interactions in online communities for individuals with bipolar disorder and leverage this information to predict suicide risk levels. We propose a model that uses contextualized posts and comments along with their sentiment features. By embedding these features into a peer support network, our model captures peer interactions and predicts suicide risk levels using the bidirectional LSTM Graph Neural Networks (Bi-LSTM …

Vulnerability Discovery On Broadcom Devices With Qemu, Christian Shane Douglas Little

USF Tampa Graduate Theses and Dissertations

System-on-chip (SoC) devices in the form of routers, access points, and smart appliances have become an increasingly prevalent aspect of our infrastructure. Performing vulnerability research on these devices may be exceptionally difficult given the on-hardware limitations, inability to guarantee certain aspects of the system, and lack of information when the appliance’s source code is not available.In this thesis, we present Broadfeather, a QEMU-based emulation target, and framework for dynamic analysis and instrumentation. While Broadfeather supports data types shared across many chips under the Broadcom umbrella, it is primarily geared towards the BCM6755 Wi-Fi 6E capable chipset. Broadfeather also features the …

Design Of End Bent Piles For Downdrag, Tanna Frye

USF Tampa Graduate Theses and Dissertations

Embankments are commonly used for bridge approaches, with mechanically stabilized earth (MSE) walls being the preferred choice in Florida. However, the construction of embankments leads to the settlement of the underlying soil, regardless of soil type. When piles are driven before embankment construction, the initial settlement of the original soil creates relative movement between the pile and the surrounding soil, introducing frictional forces. When the existing soils move downward relative to the pile, a downward-oriented side shear known as downdrag is introduced. While downdrag is addressed in current codes and textbooks, it is often only briefly mentioned and primarily in …

Assessing The Impact Of Ai Assisted Software Development And User Experience Of A College Football Simulation Game: A Study Of Player And Industry Professional Perspectives, Augustus J. Scarlato Iii

USF Tampa Graduate Theses and Dissertations

This research examines the use of Artificial Intelligence (AI) in the design of video games, specifically the development of a college football simulation game. This study documents the creation of an alpha version college simulation game assisted by Open AI’s Chat GPT 4.0 API, to potentially improve game development, gameplay realism, and user interaction. The study then assesses how both student players and industry professionals perceive AI-enhanced gaming, emphasizing the usability, gameplay experience, and overall quality of the game using a Likert scale survey. The analysis also highlights differences in perceptions between students and industry professionals, with the latter group …

Integrating Risk And Vulnerability: Exploring A Unified Model For Supply Chain Resiliency, William G. Cook

USF Tampa Graduate Theses and Dissertations

The world has entered an era of retreating globalization, mounting geo-political tensions, rising protectionism, and increasing focus on the fragility of complex supply chains. The negative impacts of supply chain disruptions have been increasingly documented since the turn of the century. Given the global scale of recent disruptions, supply chain resiliency has become a national imperative. The Global Financial Crisis, the Covid-19 pandemic, and other major disruptive events demonstrate the active role of government in mitigating damage, the enduring effects of regulation, and the resultant re-evaluation of supply chain strategies by the private and public sectors. In this environment, supply …

Selective Pericyte Recruitment To Ec-Lined Tubes, Vessel Assembly Enhancement Through Pericyte Timp-3 Induction, And Pericyte Tbx2 In Capillary Formation And Maturation, Ksenia Marilyn Yrigoin Kaluguina

USF Tampa Graduate Theses and Dissertations

Capillaries, the smallest blood vascular networks, are formed by narrow and elongated endothelial cell (EC)-lined tubes with associated pericytes anchored to the abluminal tube surface. Our laboratory demonstrated that dynamic interactions between ECs and pericytes during capillary tube network assembly are required for basement membrane matrix deposition and maturation. We have also shown that key EC-derived factors promote pericyte recruitment, proliferation, and pericyte-induced basement membrane formation during capillary assembly. In the first section, we aim to identify if vascular smooth muscle cells (VSMCs) respond to the same factors and have the same invasive ability as pericytes since they are both …

Manifestations Of Sulfuric Acid Speleogenesis In The Mulapampa Travertine, Central Andes Of Peru: Evidence From The Gruta Con Lago, Andrzej Tyc, Krzysztof Gaidzik, Justyna Ciesielczuk, Katarzyna Wątor

International Journal of Speleology

Sulfuric acid speleogenesis (SAS) is a form of hypogene speleogenesis characterized by the formation of caves in carbonate rocks due to the presence of sulfuric acid. This study focuses on the Gruta con Lago, one of three caves identified in the Mulapampa travertine, located in the central Andes of Peru. These caves are accessed through collapse sinkholes, and much of their morphology results from roof breakdown. The bottom of the studied cave is situated at the current water table. Despite the absence of typical solutional features associated with SAS caves, mineralogical and geochemical evidence of speleogenesis involving H₂SO …

Essays On Information Technology In Healthcare, Gleb Zavadskiy

USF Tampa Graduate Theses and Dissertations

Information technologies (IT) and information systems (IS) have profound significance across various sectors of society, including healthcare, business, education, government, and beyond. First, IT facilitates instant communication globally through email, messaging apps, video conferencing, and social media, revolutionizing how individuals and organizations interact, collaborate, and share information (Hacker et al. 2020; Tang and Hew 2020).

Secondly, the Internet and digital libraries provide worldwide access to vast amounts of information, what makes knowledge and education available to everyone, empowering individuals to learn and stay informed on diverse topics (Haleem et al. 2022). Another aspect of IT systems in various industries is …

The Association Between Oral Microbiome, Oral Inflammation, Periodontal Disease, And Systemic Metabolism In Individuals With/Without Type 1 Diabetes, Mianli Xiao

USF Tampa Graduate Theses and Dissertations

This study explores the associations between oral microbiomes, periodontal disease (PD), and systemic metabolism in individuals with and without Type 1 diabetes (T1D). Data were obtained from 208 participants (99 with T1D, 109 non-diabetic) in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) pilot study and 283 participants from the Oral Microbiome ancillary cohort study. Both studies included the collection of saliva or subgingival plaque samples. Microbial DNA was extracted, and the V4 region of the 16S rRNA gene was sequenced using the Illumina MiSeq platform. Machine learning models, including Random Forest (RF) and Multi-layer Perceptron (MLP), were applied …

Superhydrophobic Covalent Organic Framework Materials, Shengqian Ma, Qi Sun

USF Patents

A variety of superhyrdophobic porous materials are provided including a covalent organic framework having a plurality of perfluoroalkyl or perfluorheteroalkyl moieties covalently attached thereto. The materials can include a polymeric foam matrix made of a three-dimensional network of polymer fibers, and the covalent organic framework can be made encasing at least a portion of the polymer fibers. The covalent organic framework can be intertwined within the polymeric foam matrix such that the covalent organic framework encasing the portion of the polymer fibers is stable to mechanical compression of the polymeric foam matrix. Surfaces and other articles are provided including the …

Integrating Multiple Biodiversity Metrics To Assess Diatom Diversity And Diatom/Macrophyte Host Specificity In Four Florida Benchmark Lakes, Alana Jade Bronk

USF Tampa Graduate Theses and Dissertations

Biodiversity is declining across all natural environments, however, freshwater systems are thought to be among the most threatened. Quantifying and understanding trends in freshwater biodiversity has become more urgent as rapid biodiversity loss continues. To provide a robust ecological assessment, more than one bioindicator should be used, along with multiple biodiversity metrics. Macrophytes and diatoms are important components of aquatic systems, especially in shallow lakes. The relationship between macrophytes and epiphytic diatoms, though, is not clearly understood, and has not been well-studied, particularly in Florida, which has the largest abundance of natural freshwater lakes in the southeastern U.S This study …

Tongue-In-Cheek Dictionary Of Birding Terms, Eirik A. T. Blom

Maryland Birdlife

No abstract provided.

Atlantic Seabirds: Ocean City, Maryland Pelagic Trips, 1991–1992, Eugene J. Scarpulla

Maryland Birdlife

No abstract provided.