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Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Theses and Dissertations
This research presents a novel integrated framework combining computational fluid dynamics (CFD) with machine learning techniques to enhance the analysis of backward-facing step flows. A high-fidelity OpenFOAM CFD simulation was developed and validated against experimental data, accurately predicting the reattachment length (��/�� ≈ 6.18) and velocity profiles throughout the domain. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Regression, were integrated through a robust data pipeline, with the ensemble approach demonstrating superior performance (RMSE of 1.18 m/s, ��2 of 0.951). Feature importance analysis revealed pressure (32%) and turbulent kinetic energy (28%) as the dominant physical parameters governing …
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Theses and Dissertations
Counter-drone systems employ sensors such as radars and cameras to detect, track, and identify drones. These systems can confuse birds with drones, and the advent of bird-like drones exacerbates this problem. This thesis explores radar micro-Doppler, camera imagery, and their fusion for drone and bird classification. First, micro-Doppler models of quadcopters, birds, and bird-like drones were developed to generate a dataset of synthetic spectrograms for training support vector machine, k-nearest neighbors, Naïve Bayes, and convolutional neural network (CNN) classifiers. Second, transfer learning was applied on YOLOv10, a recently developed You Only Look Once object detector model, to detect and classify …
Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi
Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi
Theses and Dissertations
Machine learning derived interatomic potentials have proven to be effective tools in simulation that mimic the accuracy of ab-initio calculations to the sub meV/atom level. They offer the advantage of computational speed operating at linear scaling with respect to the system’s size making them more efficient than classical potentials like MEAM (modified embedded atom methods). In this work, interatomic potentials are created based on the rapid artificial neural network (RANN) formalism for magnesium (Mg), Aluminum (Al) and their alloys. From previous works, the RANN formalism produces high-fidelity atomic models with accurate force fields for several metals, offering new insights into …
Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza
Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza
Theses and Dissertations
Venus shares many geological similarities with Earth, yet its tectonic processes and magma injection mechanisms remain poorly understood. A key question in planetary geology is how effusive volcanism persists despite the intense horizontal compression terrestrial bodies experience over time. To explore these issues, we examine the Spanish Peaks dike swarm in Colorado which serves as an ideal site for investigating magma intrusion under compressive stress conditions. Through field mapping, orientation measurements, and structural analysis, we identify a strong relationship between pre-existing joints and dike orientations, suggesting that these fractures serve as critical magma pathways in compressive regimes. Additionally, evidence of …
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Theses and Dissertations
The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …
Utilizing Novel Application Methods To Mitigate Antagonism With Combinations Of Auxin And Grass Control Herbicides, Jake Patterson
Utilizing Novel Application Methods To Mitigate Antagonism With Combinations Of Auxin And Grass Control Herbicides, Jake Patterson
Theses and Dissertations
Auxin and grass control herbicides are often applied in tank mixtures to provide multiple modes of action and to achieve broad-spectrum weed control. Literature indicates that auxin herbicides, when mixed in solution, may antagonize grass control herbicides, resulting in decreased grass weed control compared to the grass herbicide applied alone. Field and laboratory experiments were conducted in 2022, 2023, and 2024 at multiple locations in Mississippi. These experiments had three objectives: 1) evaluate grass weed control with glyphosate and clethodim in response to the simultaneous application with either dicamba or 2,4-D, using a commercially available direct-injection system compared to tank-mix …
Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty
Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty
Theses and Dissertations
This study investigates a novel 3D-printed graphene-coated polymer (GCP) for the removal of Microcystin-LR (MC-LR), a harmful cyanotoxin produced during harmful algal blooms (HABs). While graphene nanoplatelets (GnPs) exhibit high adsorption capacity, their powdered form limits practical application. To address this, GnPs were coated onto 3D-printed poly(lactic acid) (PLA) substrates, enabling enhanced handling for field deployment. Surface characterization using laser confocal microscopy, Raman spectroscopy, and thermogravimetric analysis confirmed GnP distribution and coating uniformity. Batch adsorption experiments revealed pseudo-second-order kinetics, a maximum adsorption capacity (qmax) of 596 μg/g, and adsorption behavior best described by the Langmuir isotherm. Statistical analysis and comparison …
An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
Theses and Dissertations
With rising global temperatures, increasing sea levels, and the accelerated erosion of coastal wetlands, efficient methods for monitoring this vulnerable ecosystem are crucial. Traditional approaches, such as manual surveys, are labor-intensive, hazardous, and invasive to the environment they are attempting to protect, while current remote sensing methods are cost prohibitive and rely on irregular data collection techniques. To address these challenges, a scalable solution is needed for reliable and frequent data collection. This study explores the use of GNSS Reflectometry (GNSS-R) combined with unmanned aerial vehicles (UAVs) to monitor the shifting topology in wetlands with minimal human invasion. By leveraging …
Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert
Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert
Theses and Dissertations
Anomaly detection in complex industrial environments poses unique challenges, particularly in contexts characterized by data sparsity and evolving operational conditions. Predictive maintenance (PdM) in such settings demands methodologies that are adaptive, transferable, and capable of integrating domain-specific knowledge. This work presents RAAD-LLM, a novel framework for adaptive anomaly detection, leveraging large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG). This approach addresses the aforementioned PdM challenges. By effectively utilizing domain-specific knowledge, RAAD-LLM enhances the detection of anomalies in time-series data without requiring fine-tuning on specific datasets. The framework's adaptability mechanism enables it to adjust its understanding of normal operating conditions …
Cotton Development, Yield, And Boll Distribution Response To Row Pattern And Plant Density, William Joseph Rutland
Cotton Development, Yield, And Boll Distribution Response To Row Pattern And Plant Density, William Joseph Rutland
Theses and Dissertations
The effects of row pattern and plant density on the ability of cotton (Gossypium hirsutum L.) to compensate and sustain profitable yields has been evaluated by many studies. However, new varieties exhibiting more vigorous growth and more exaggerated row patterns have yet to be evaluated. Therefore, experiments were conducted in Starkville, MS and Stoneville, MS in 2021 and 2022 to evaluate the influence of 1x1 skip row patterns and plant density on cotton growth, development, yield, boll distribution, and profitability. In 2021 there was no yield response due to plant population. However, in 2022, yields increased as plant density increased. …
Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar
Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar
Theses and Dissertations
Meteorologists from sectors, including broadcast, academia, and operations, use derived composite indices such as 0-1km and 0-3km energy helicity index (EHI), effective-layer supercell composite parameter (SCP), fixed-layer and effective layer significant tornado parameter (STP), in addition to other resources, when developing severe local storm forecasts. This study utilizes the Weather Research and Forecasting (WRF) model to create simulations of composite indices for two tornado-producing events: 31 March 2023 and 3 May 1999. With modifications to geographical location, these simulated scenarios are then utilized in the survey to gauge how meteorologists assess where tornado potential is highest. Additionally, a combination of …
Evaluating The Efficiency And Effectiveness Of Drones For Monitoring Animals, Emma Ann Schultz
Evaluating The Efficiency And Effectiveness Of Drones For Monitoring Animals, Emma Ann Schultz
Theses and Dissertations
Accurate animal population estimates inform effective conservation and management strategies. Drones have become a common tool for animal monitoring. Typical drone flight planning involves image overlap to create an orthomosaic; however, this may lead to animal population estimate errors. To quantify this sampling error, I simulated a range of real-world monitoring scenarios for robust application in assessment of animal counts from drones using agent-based modeling. Scenarios investigated effects of 1) animal densities, 2) animal distributions, 3) animal movements, and 4) drone flight patterns. First, I investigated five animal densities (n = 4, 9, 25, 49, 100 animals/survey area) and three …
Design And Evaluation Of A 5g Testbed: Analyzing Security Solutions, Iq Sample Management, And Performance Visualization, Mohammed Saleh Shaik
Design And Evaluation Of A 5g Testbed: Analyzing Security Solutions, Iq Sample Management, And Performance Visualization, Mohammed Saleh Shaik
Theses and Dissertations
The evolution of 5G networks has introduced new opportunities for high-speed, low-latency wireless communication, supporting a wide range of applications from industrial automation to secure data transmission. However, as 5G networks become more complex, ensuring security and maintaining optimal performance present significant challenges. This thesis explores the development of a 5G testbed using Software-Defined Radios (SDRs) and open-source platforms to analyze signal behavior, security implementations, and performance. The testbed, built with the open source srsRAN software library and widely available SDR hardware, serves as a controlled environment for studying 5G communications security features and innovations. To evaluate transmission characteristics, in-phase/quadrature …
Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker
Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker
Theses and Dissertations
Anthropogenic climate change has been associated with reservoir aging and reduced ecosystem function. Communities throughout the world depend on reservoirs for services such as hydropower, drinking water, flood mitigation, and recreational opportunities. Though reservoirs were typically constructed to meet human needs, they are now also acknowledged as supporting biodiverse aquatic communities. Reservoir managers are expected to maintain services and biodiversity demanded by diverse users despite high uncertainty surrounding how climate will influence reservoirs through time. Additionally, data describing reservoir function at broad spatial extents are often either unavailable, incompatible between agencies, or prohibitively resource-intensive to obtain. Expert opinion surveys are …
Zeroizing Trust In A Naïve Federated Zero Trust Environment, Keith E. Strandell
Zeroizing Trust In A Naïve Federated Zero Trust Environment, Keith E. Strandell
Theses and Dissertations
The position of the United States on the global stage is predicated on information dominance and the ability to project power through cooperative engagements with mission partners in both wartime and peacetime. Recent cyber-attacks highlighted the need for a more robust cybersecurity posture. As the United States progresses toward the adoption of Zero Trust, it is incumbent on the Department of Defense to assess the impact to the ability to share data across strategic partnerships while securing the data of both the United States and its partners. This paper proposes research into ensuring an environment rooted in Zero Trust and …
Effects Of Environmental Stress And Antimicrobials On The Health, Microbiome, And Product Shelf-Life Of Channel And Hybrid Catfish, Guyue Tang
Theses and Dissertations
Two studies investigated various aspects of channel and hybrid catfish production and processing. The first study examined the effects of ammonia stress (15 mg/L vs. 1 mg/L control) on growth performance and fillet quality. While channel catfish demonstrated superior growth, ammonia stress minimally impacted the sensory profiles of both species. Gut microbiota analysis revealed species-specific differences, with Lactococcus lactis dominating hybrid catfish communities. The second study evaluated buffered vinegar treatment (1.5%) on fillet shelf life during refrigerated storage. Vinegar-treated fillets maintained better microbiological quality, with aerobic plate counts remaining below 7 log cfu/g through day 6, while untreated fillets exceeded …
Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson
Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson
Theses and Dissertations
Many AI models rely on large and high quality datasets for optimal training. In certain cases, data can be difficult or expensive to obtain, making training difficult. Rare medical conditions are one of these cases. Datasets for retinoblastoma are severely lacking in quantity. Diffusion has been used to create synthetic data in the industrial, medical, and financial domains. By applying the latest Diffusion methods to retinoblastoma, this work seeks to improve predictive model performance on identifying retinoblastoma.
A Fine-Tined Bert Model For Improved Querying Of The Unmanned Aerial System Integration Safety And Security Technology Ontology, Minh Hong To
Theses and Dissertations
The use of unmanned aerial vehicles (UAS) in all industries is steadily increasing every year. To govern the use of UAS, the Federal Aviation Administration (FAA) seeks to provide a foundation of rules and regulations for UAS operation in the National Airspace System (NAS). The UAS Integration Safety and Security Technology Ontology (ISSTO) was developed using the Web Ontology Language (OWL) in 2023. In 2024, a query application was developed to search ISSTO for information about the safety and security of UAS operations. While the application is functional, the search results can be further fine-tuned to match what the user …
Estimation Of Soybean Root Traits Using Computer Vision And Deep Learning, Muhammad Usman
Estimation Of Soybean Root Traits Using Computer Vision And Deep Learning, Muhammad Usman
Theses and Dissertations
Root phenotyping provides insights into root structure, function, and response to environmental stimuli, aiding researchers in improving crop yields, developing new plant varieties, and enhancing plant health. Traditionally, measuring root traits, such as length and area, is manual, time-consuming, and resource intensive. This study introduces a deep learning-based computer vision method for soybean root segmentation and traits estimation using RGB (red, green, blue) images captured under controlled illumination. A separate web-based application was also developed that can extract the root length and area using RGB images. A diverse set of 3,363 soybean root images was collected using an in-house root …
Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn
Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn
Theses and Dissertations
Tropical cyclones (TCs) are extreme weather events impacting the United States nearly every year. These events often cause severe damage due to the associated responses they produce including storm surge and rainfall, and the accurate estimation of these TC hazards is necessary to support coastal engineering, risk assessment, and emergency management activities. Evaluating TC-driven hazards is often done in combination with numerical models to simulate how environmental interactions alter the physical processes and responses of these storms. The purpose of this study was to simulate synthetic TC events using the Advanced Weather Research and Forecasting (WRF) model to understand how …
Langston Hughes And The “Afro-American Narrative” Tradition, Paul Haynes
Langston Hughes And The “Afro-American Narrative” Tradition, Paul Haynes
Theses and Dissertations
After introducing Langston Hughes and defining Robert B. Stepto’s “Afro-American narrative” tradition, Chapter One presents a biography of Hughes from his birth in 1902 until he came under the patronage of Charlotte Osgood Mason in 1927. Chapter One also addresses the aesthetic expectations of the Harlem Renaissance and the extent to which Hughes either met or failed to meet those expectations. Chapter Two presents a reading of Not without Laughter as an integrated narrative, addressing how Hughes’s authenticating strategies and Mason’s authenticating devices evenly control the novel. Chapter Three presents a reading of Hughes’s short-story cycle, The Ways of White …
Prosodic Pitch And Intensity Patterns In People With Moderate Broca's Aphasia, Juliana Pickard
Prosodic Pitch And Intensity Patterns In People With Moderate Broca's Aphasia, Juliana Pickard
Theses and Dissertations
People with aphasia (PWA) experience deficits in utilizing prosody, which drastically impacts their communicative effectiveness. The lack of prosody in people with aphasia may alter their ability to nurture meaningful relationships, advance educational and work opportunities, and participate in community activities. This study acoustically evaluates the prosodic characteristics of speech produced by individuals with non-fluent aphasia to better understand how to accurately assess and more effectively treat communication difficulties in PWA. Recorded speech samples derived from a Cinderella story retell from 16 individuals with moderate Broca's aphasia and 16 age-matched controls were acoustically analyzed in this study. The recordings were …
Data In The Classroom: The Impact Of A Data-Centric, High School Program To Motivate Career Interest In Stem Fields, Tyler Stabiler
Data In The Classroom: The Impact Of A Data-Centric, High School Program To Motivate Career Interest In Stem Fields, Tyler Stabiler
Theses and Dissertations
This dissertation proposes to analyze the importance of introducing data-centric STEM (Science, Technology, Engineering, and Mathematics) studies at the high school level. In today's digital age, the importance of studying data-centric STEM in high school cannot be overstated. This dissertation looks to discover educational capabilities of high school students in various grade levels by understanding their drive, desire, and ambitions in a different STEM course than what is currently offered at the high school. Finally, the study analyzes the students’ participation in lectures, laboratory environment, and model/simulations to identify the significance in high schools adding data-centric curriculums to their academic …
Efficient Eeg Epilepsy Classification And Feature Selections Based On Hellinger Distance, Muhammed Sadiq
Efficient Eeg Epilepsy Classification And Feature Selections Based On Hellinger Distance, Muhammed Sadiq
Theses and Dissertations
Accurate and efficient detection of epileptic seizures from EEG signals remains a critical challenge due to high-dimensional data, class imbalance, and the limitations of standard classifiers. This thesis introduces two novel models to address these challenges. The first model presents a new classifier based on the Hellinger Distance, specifically designed to enhance discriminative capability and robustness against imbalanced datasets. By integrating the Hellinger Distance Classifier with Particle Swarm Optimization (PSO) for feature selection, this model significantly improves classification performance while reducing computational complexity. Experimental evaluations on the Bonn dataset demonstrate an accuracy of 96.25%, an F1-score of 97.74%, a recall …
Applications Of The Mathieu Groups And Information Theory In Dna Encoding Functions, Juan C. Nava Jr
Applications Of The Mathieu Groups And Information Theory In Dna Encoding Functions, Juan C. Nava Jr
Theses and Dissertations
A foundational idea in mathematics lies in breaking down existing components into their bare fundamentals. As evidenced by prime numbers and composites, we learn this idea at an early age. Categorizing these broken-down components into their simplest form allows mathematicians to construct proofs from emergent patterns. John Conway’s Atlas of Finite Groups in the 1990s was particularly concerned with the categorization of structures known as groups. There are certain axioms a group must adhere to, which amount to the retention of symmetry; ultimately a group helps us to better understand symmetric actions performed on a set with a binary operation. …
Decoding Symbolic Influence On Youtube Engagement, Emotion Resonance And Trust In Information Campaigns, Diwash Poudel
Decoding Symbolic Influence On Youtube Engagement, Emotion Resonance And Trust In Information Campaigns, Diwash Poudel
Theses and Dissertations
This study examined how symbolic images in YouTube videos influences viewers’ emotions, trust, and engagement with political content online. Approximately 2,000 videos were collected and analyzed, with a focus on both thumbnails and standout frames. The findings revealed that cultural symbols were particularly effective at capturing attention and evoking strong emotional reactions—especially anger and disgust. Notably, these same symbols also enhanced viewer trust, making audiences less susceptible to misinformation. Statistical tests confirmed that these effects were consistent and significant. To ensure the validity of these results, additional analyses were conducted to assess potential biases in YouTube’s recommendation algorithm, as well …
Method Development For The Analysis Of Drugs Of Abuse Using Solid Phase Extraction And High Pressure Liquid Chromatography, Sangeeta Kurre
Method Development For The Analysis Of Drugs Of Abuse Using Solid Phase Extraction And High Pressure Liquid Chromatography, Sangeeta Kurre
Theses and Dissertations
The accurate detection and quantification of drugs of abuse and their metabolites for HPLC analysis is key in the medical, forensic, and environmental sectors. Additionally, the detection of compounds related to substance use disorders in clinical settings can play a crucial role in effective treatment decisions by healthcare practitioners. The ability to detect these compounds at trace levels in any given sample matrix is a known challenge. Coupling a reliable sample preparation method to HPLC analysis for matrix interference reduction and the preconcentration of species for enhanced detection limits may provide a preferred solution to the analysis of drugs of …
"Cultural Identity And Economic Challenges": The Socio-Economic Impact Of The Texas Kickapoo Reservation In The South Texas Borderlands, Diana P. Medina-Rendon
"Cultural Identity And Economic Challenges": The Socio-Economic Impact Of The Texas Kickapoo Reservation In The South Texas Borderlands, Diana P. Medina-Rendon
Theses and Dissertations
The Kickapoo Traditional Tribe of Texas holds a significant place in Texas history. Facing conflicts with other tribes and experiencing broken treaties with the United States government, the Kickapoo slowly migrated from the Great Lakes region in the 16th century to the Midwest, then to the South, and into northern Mexico. Along the way, the Kickapoo encountered the French, British, Spanish, Americans, Texans, and Mexicans. They became involved in historical events such as the French and Indian War, the Battle of Tippecanoe, the War of 1812, the Battle Creek Massacre of 1838, and the Battle of Dove Creek of 1865. …
Pausing Patterns Across Speech Tasks In Individuals Diagnosed With Broca's Aphasia, Kate Low
Pausing Patterns Across Speech Tasks In Individuals Diagnosed With Broca's Aphasia, Kate Low
Theses and Dissertations
The purpose of this study was to investigate whether individuals with moderate Broca's aphasia exhibit different pause duration and frequency patterns compared to individuals without neurological disorders, as well as to explore how speech task type influences pause patterns. A total of 16 participants (eight male and eight female) previously diagnosed with moderate Broca's aphasia and apraxia were included in this study, along with 16 age- and gender-matched control participants. Speech recordings from the 16 participants were sourced from the AphasiaBank database. Speech samples from four different task types (i.e., interview, personal narrative, picture description, and story retell) were analyzed …
Fan Art, Jacob Lay
Fan Art, Jacob Lay
Theses and Dissertations
This thesis examines the work of artists like Vincent van Gogh, Donald Baechelor, and Cezanne in their relationship to my work and contemporary painting. Drawing from personal letters, interviews, and essays on these artists, the paper places painting and drawing from the thesis exhibition in a history as well as relates them to current pop culture relics. The paper also includes a process-based analyses of how each painting is made and with what materials.