Digital Commons Network^™

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 …

Quantization Dimensions For The Bi-Lipschitz Recurrent Iterated Function Systems, Amit Priyadarshi, Mrinal Kanti Roychowdhury, Manuj Verma

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, the quantization dimensions of the Borel probability measures supported on the limit sets of the bi-Lipschitz recurrent iterated function systems under the strong open set condition in terms of the spectral radius have been estimated.

Senate Meeting, November 6, 2024, Academic Senate

Academic Senate Minutes

No abstract provided.

Quantifying And Reducing The Cost Of Tagging: Combining Computational Fluid Dynamics And Diving Experiments To Reduce Impact From Animal-Borne Tags, J. Chris Mcknight, Chris Pass, Dave Thompson, Steve Balfour, Sophie M.J.M. Brasseur, Clare Embling, Gordon Hastie, Ryan Milne, Adam Kyte, Simon E.W. Moss, Richard Pemberton, Debbie J.F. Russell

School of Engineering, Computing and Mathematics

Animal-borne instruments are essential research tools for ecologists and physiologists. An increasing number of studies have shown impacts of carrying a tag on behaviour and energetics, which can have implications for animal welfare and data validity. Such impacts are a result of the additional mass and/or drag loads, with the latter requiring empirical measurements or computational fluid dynamics (CFD) to estimate. To quantify and effectively minimize tag impacts from drag, a novel combined empirical and CFD approach is required. Here, we demonstrate such an approach using captive phocid seals and the widely used Sea Mammal Research Unit (SMRU) Instrumentation Group …

What Can We Learn From Cavity-Nesting Birds?, Jennifer Uehling

Sustainability Research & Practice Seminar Presentations

Professor Jennifer Uehling, Biology, "What can we learn from cavity-nesting birds?".

Office Of Research, Economic Engagement And Outreach Update, November 6, 2024, Office Of Research, Economic Engagement And Outreach

Office of Research, Economic Engagement and Outreach

No abstract provided.

A Distributed Secure System For Threads Detection In Crowded Environments Based On Biometric Facial Expression, Nourhan Zayed, Hassan I. Sayed, Ghada F. El-Kabbany

Mechanical Engineering

Ensuring security in crowded areas poses a significant problem due to the dense population and the intricate task of monitoring their behaviors. This research presents a real-time security system that utilizes facial expression analysis to identify potential threats. The technology utilizes sophisticated facial recognition and emotion detection techniques to accurately recognize emotions such as wrath, fear, and anxiety. These feelings can serve as indicators of suspicious activities or potential security risks. The system utilizes a Convolutional Neural Network (CNN) to classify facial expressions and recognize objects. In addition, it integrates an SVM classifier trained on features derived from the combined …

Purely Pseudo-Anosov Subgroups Of The Genus Two Handlebody Group, Marissa E. Chesser, Christiopher J. Leininger

Faculty Work Comprehensive List

We prove that finitely generated, purely pseudo-Anosov subgroups of the genus 2 handlebody group are convex cocompact.

Popular Culture Pedagogy: Theory And Application In Academia [Dialogue, Volume 3, Issue 1 (Spring 2016)], Lynnea Chapman King, Anna S. Cohenmiller

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

Popular Culture Pedagogy: Theory and Application in Academia [Dialogue, Volume 3, Issue 1 (Spring 2016)]

Editorial, Lynnea Chapman King and A. S. CohenMiller

Articles

(Re)learning about Learning: Using Cases from Popular Media to Extend and Complicate our Understandings of What It Means to Learn and Teach, Kelli Bippert, Dennis Davis, Margaret Rose Hilburn, Jennifer D. Hooper, Deepti Kharod, Cinthia Rodriguez, and Rebecca Stortz

Building a Popular Writing Course, Emily Howson, Chris Massenburg, and Cecilia Shelton

Lady Gaga Meets Ritzer: Using Music to Teach Sociological Theory, Kenneth Culton and José A. Muñoz

A Framework for Using Popular Music Videos to Teach …

(Re)Learning About Learning: Using Cases From Popular Media To Extend And Complicate Our Understandings Of What It Means To Learn And Teach, Kelli Bippert, Dennis Davis, Margaret Rose Hilburn, Jennifer D. Hooper, Deepti Kharod, Cinthia Rodriguez, Rebecca Stortz

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

This article utilizes sociocultural and socio-constructivist learning theories to analyze incidents of learning, and by extension teaching, in six different popular media selections. The authors describe their shared theoretical framework and the nature of the original analyses, which were completed as part of a doctoral course assignment. Each of the six excerpts is then described and discussed employing unique theoretical perspectives. The use of popular culture as the context for examining learning and teaching provides a space untethered from traditional notions of schooling through which typically accepted assumptions about pedagogy are revealed, re-examined, and reframed.

Executive Committee - Minutes, 11/5/2024, Academic Senate

Academic Senate Minutes

No abstract provided.

Bayesian Model Projecting Cardiovascular Disease Related Mortality Trends In The United States, Salil V. Deo, Sadeer Al-Kindi, Pedro R.V.O. Salerno, Antoinette Cotton, Yakov Elgudin, Sanjay Rajagopalan

Faculty Scholarship

BACKGROUND: As future cardiovascular disease mortality trends have public health implications, we aimed to project ischemic heart disease (IHD), cerebrovascular disease (CeVD), and heart failure (HF) mortality rates for adults (40–79 years). METHODS AND RESULTS: In this population-level study, we linked the yearly mortality rates (per 100 000 US residents) (2000– 2019) with IHD, CeVD, or HF as the primary cause of death from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research with the midyear US population estimates (2000–2035) for adults (40–79 years). We calculated the observed age-standardized mortality rates (2000–2019) (per 100 000 residents) …

A Probabilistic Kp And Hp Driven Auroral Boundary Model Using 28 Years Of Dmsp Data, Riley N. Troyer, Russell Landry, Michael David, Vincent Eccles, Adrian E. Acosta

Space Dynamics Laboratory Publications

This paper uses energy flux data from the DMSP F6 thru F19 satellites to construct a new equatorward auroral boundary model. This method of processing the data allows one to easily extend boundary detections to different instrument generations because it is based on a standard deviation value instead of hard thresholds. Using this method, the paper provides statistics from just under 1 million auroral boundaries between 1986 and 2014. These statistics are based on normal distribution fits for each Kp/Hp and MLT bin, which allows one to specify the boundary for an arbitrary distribution percentile. The paper compares …

Minutes, Curriculum Committee Meeting, Tuesday, November 05, 2024, Curriculum Committee

Curriculum Committee Minutes

No abstract provided.

Integrating Gis And Ca-Markov Model To Study Urban Dynamics Of Salem, India In Terms Of Pattern, Intensity And Direction, Linda Theres B

Theses and Dissertations

Urban populations have grown substantially in the modern era and the information age as people seek better living prospects. Currently, more than half of the world's population resides in the cities. Such growth must be monitored to ensure that people enjoy the boons of urban spaces, not the banes. Recognising the significance of urban studies, several researchers have attempted to analyse and predict urban dynamics using remote sensing, Geographic Information Systems, and machine learning methods. However, certain limitations exist, especially in improving the CAMarkov model's prediction performance. In addition, studies have suggested that growth characteristics, such as pattern, intensity, and …

Programs Agenda 11-5-24, Angela Brock

Programs Committee (PC)

No abstract provided.

Polymorphism Control Of Polyethylene Terephthalate (Pet) Degradation Product Via Mechanochemistry Leads To Accelerated Microbial Degradation, Deepika Shingwekar, Nicholas Lutz, Delbert S. Botes, Elani J. Cabrera-Vega, Gonzalo Campillo-Alvarado, Jay L. Mellies, Jesus Daniel Loya

Chemistry Faculty Publications and Presentations

Here, we optimized a chemo-microbial degradation of polyethylene terephthalate. Developed a path to mechanochemically interconvert between BHET polymorphs and established that BHET polymorphism influences bacterial biodegradation rate.

Characterizing The Temporal And Nearshore To Offshore Spatial Scale Of Phytoplankton Assemblages Within The Florida Keys National Marine Sanctuary, Sebastian P. Di Geronimo

USF Tampa Graduate Theses and Dissertations

This study investigates the spatial and temporal dynamics of phytoplankton communities within the Florida Keys National Marine Sanctuary (FKNMS) from 2016 to 2021. Phytoplankton biomass and community composition were analyzed across four seasons and from both Nearshore (within 2 km of shore) and Offshore (8 to 10 km from shore) locations along the Florida Keys from Miami to the Western Sambo Ecological Reserve. High-performance liquid chromatography (HPLC) quantified chlorophyll-a (tchla) as a proxy for bulk biomass, and other pigments. CHEMTAX, a chemotaxonomic identification method, was employed to estimate phytoplankton community composition. Our results revealed significant seasonal variability in bulk biomass, …

Approved Programs 11-5-24, Angela Brock

Programs Committee (PC)

No abstract provided.

Ucc Minutes 11-5-24, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Forecasting The Promotion Rate For Women In The U.S. Senior Foreign Service, Jodi Wynn Erickson

Walden Dissertations and Doctoral Studies

Despite efforts worldwide to increase diversity, women continue to be underrepresented in the most senior leadership and management positions. The aim of this study was to provide insight into whether specific variables increased female representation at the most senior levels of the U.S. Foreign Service. A quantitative correlational study was completed using an autoregressive integrated moving average model in SPSS. Following that, time series forecasts were run in SPSS and AI generated in Google Gemini and Microsoft Copilot, to create a forecast for the female promotion rate in the Senior Foreign Service (the equivalent of the Senior Executive Service) within …

Forecasting The Promotion Rate For Women In The U.S. Senior Foreign Service, Jodi Wynn Erickson

Walden Dissertations and Doctoral Studies

Despite efforts worldwide to increase diversity, women continue to be underrepresented in the most senior leadership and management positions. The aim of this study was to provide insight into whether specific variables increased female representation at the most senior levels of the U.S. Foreign Service. A quantitative correlational study was completed using an autoregressive integrated moving average model in SPSS. Following that, time series forecasts were run in SPSS and AI generated in Google Gemini and Microsoft Copilot, to create a forecast for the female promotion rate in the Senior Foreign Service (the equivalent of the Senior Executive Service) within …

Forecasting The Promotion Rate For Women In The U.S. Senior Foreign Service, Jodi Wynn Erickson

Walden Dissertations and Doctoral Studies

Despite efforts worldwide to increase diversity, women continue to be underrepresented in the most senior leadership and management positions. The aim of this study was to provide insight into whether specific variables increased female representation at the most senior levels of the U.S. Foreign Service. A quantitative correlational study was completed using an autoregressive integrated moving average model in SPSS. Following that, time series forecasts were run in SPSS and AI generated in Google Gemini and Microsoft Copilot, to create a forecast for the female promotion rate in the Senior Foreign Service (the equivalent of the Senior Executive Service) within …

Draft Final 2024 Residential Metals Abatement Program (Rmap) Residential Daycares Field Sampling Plan (Fsp) Submittal R-04941 And R-04947, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Global Review Of Species Biodiversity On Seaweed Farms, Carrie J. Byron

Marine Sciences Faculty Publications

Report on species biodiversity on seaweed farms prepared by Carrie J. Byron, UNE School of Marine and Environmental Programs, for World Wildlife Fund (WWF) in November of 2024.

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 …

Regimes Of Stratified Turbulence At Low Prandtl Number, Kasturi Shah, Gregory P. Chini, Colm-Cille P. Caulfield, Pascale Garaud

Faculty Publications

Quantifying transport by strongly stratified turbulence in low Prandtl number ( $Pr$ ) fluids is critically important for the development of better models for the structure and evolution of stellar and planetary interiors. Motivated by recent numerical simulations showing strongly anisotropic flows suggestive of a scale-separated dynamics, we perform a multiscale asymptotic analysis of the governing equations. We find that, in all cases, the resulting slow–fast systems take a quasilinear form. Our analysis also reveals the existence of several distinct dynamical regimes depending on the emergent buoyancy Reynolds and Péclet numbers, $Re_b = \alpha ^2 Re$ and $Pe_b = Pr …

Regimes Of Stratified Turbulence At Low Prandtl Number, Kasturi Shah, Gregory P. Chini, Colm-Cille P. Caulfield, Pascale Garaud

Faculty Publications

Quantifying transport by strongly stratified turbulence in low Prandtl number ( $Pr$ ) fluids is critically important for the development of better models for the structure and evolution of stellar and planetary interiors. Motivated by recent numerical simulations showing strongly anisotropic flows suggestive of a scale-separated dynamics, we perform a multiscale asymptotic analysis of the governing equations. We find that, in all cases, the resulting slow–fast systems take a quasilinear form. Our analysis also reveals the existence of several distinct dynamical regimes depending on the emergent buoyancy Reynolds and Péclet numbers, $Re_b = \alpha ^2 Re$ and $Pe_b = Pr …

Lead-Lag And Volatility Point Change Estimations For Cryptocurrencies, Jules Clement Mba, Jenipher Mutale, Ehounou Serge Eloge Florentin Angaman

Journal of Banking and Financial Economics

This study investigates the lead-lag relationships and volatility dynamics among four major cryptocurrencies – Bitcoin, Ethereum, Solana, and Polygon – during the turbulent year of 2022. We address three primary research questions: (1) To what extent do lead-lag relationships exist among major cryptocurrencies, and how do they challenge or support the notion of market efficiency in the crypto space? (2) How do volatility change points in different cryptocurrencies relate to each other and to major market events? (3) How can the identification of lead‑lag relationships and volatility change points inform cryptocurrency investment strategies and risk management practices? Using a continuous-time …

Examining Wildfire Dynamics Using Ecostress Data With Machine Learning Approaches: The Case Of South-Eastern Australia's Black Summer, Yuanhui Zhu, Shakthi B. Murugesan, Ivone K. Masara, Soe W. Myint, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Wildfires are increasing in risk and prevalence. The most destructive wildfires in decades in Australia occurred in 2019–2020. However, there is still a challenge in developing effective models to understand the likelihood of wildfire spread (susceptibility) and pre-fire vegetation conditions. The recent launch of NASA's ECOSTRESS presents an opportunity to monitor fire dynamics with a high resolution of 70 m by measuring ecosystem stress and drought conditions preceding wildfires. We incorporated ECOSTRESS data, vegetation indices, rainfall, and topographic data as independent variables and fire events as dependent variables into machine learning algorithms applied to the historic Australian wildfires of 2019–2020. …