Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Mississippi State University

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 1681 - 1710 of 54542

Full-Text Articles in Entire DC Network

The Digital Divide Among Urban University Students In The Post-Pandemic Era, J. B. Oleet Dec 2024

The Digital Divide Among Urban University Students In The Post-Pandemic Era, J. B. Oleet

Theses and Dissertations

This survey study, N = 44 university students, from an urban campus, measured post-pandemic digital divide perceptions, focusing on motivational, physical, skills, and usage access to ICTs through the lens of van Dijk’s resources and appropriation theory. Statistical tests, including one-sample t-tests, correlation analyses, one-way and repeated measure ANOVAs, and independent sample t-tests, highlighted both the perceptions and relationships among different dimensions of digital divides. The findings showed that participants perceive their post-pandemic digital divide perceptions positively. Intrinsic Motivational Access (IMA) mean scores were particularly high, suggesting a strong internal drive among students to engage with ICTs, significantly surpassing extrinsic …


Plastic Contaminants Detection And Classification In Seed Cotton Using Customed Design Feeder Separator Unit And Convolutional Neural Network, Jonathan Harjono Dec 2024

Plastic Contaminants Detection And Classification In Seed Cotton Using Customed Design Feeder Separator Unit And Convolutional Neural Network, Jonathan Harjono

Theses and Dissertations

The thesis presents an application of a convolutional neural network (CNN) to detect and classify plastic contaminants in seed cotton in real-time, in a ginning environment. A multi-layered CNN was developed and used to detect plastic contaminants from images captured by a universal serial bus (USB) camera, in a flowing cotton stream, with an artificial lighting system. The CNN was trained using a collection of images captured in the dynamic setting that simulated real-time cotton flow using a custom design feeder system. The CNN was trained in Google Colaboratory (Colab) environment. After the training was completed, it was then converted …


An Open-Source, Student-Centric Approach To The Cyber Kill Chain, Justin Lane Wooten Dec 2024

An Open-Source, Student-Centric Approach To The Cyber Kill Chain, Justin Lane Wooten

Theses and Dissertations

The cybersecurity landscape demands professionals with practical skills and a deep understanding of attack methodologies. However, many institutions face significant challenges in providing comprehensive cybersecurity education due to the high costs associated with commercial tools and platforms. This thesis presents a student-centric, open-source curriculum for teaching the Cyber Kill Chain, designed to bridge the gap between theoretical knowledge and real-world application while addressing the financial constraints faced by many educational institutions. Our approach leverages freely available tools and hands-on exercises to cover each phase of the Cyber Kill Chain, emphasizing ethical considerations and collaborative learning. We detail the curriculum development …


Identification Of Bacterial Species Composition And Diversity Of Chicken Breast Meat During Processing., Lizzie Raquel Zaldivar Dec 2024

Identification Of Bacterial Species Composition And Diversity Of Chicken Breast Meat During Processing., Lizzie Raquel Zaldivar

Theses and Dissertations

Understanding the bacterial profile of chicken during processing is essential to identify spoilage-related bacteria. Using advanced methods like Oxford Nanopore sequencing, specific bacterial species on chicken meat can be identified. This study aimed to characterize bacterial composition and diversity on chicken breast during processing. Results showed a reduction in aerobic bacteria, E. coli, coliform, and lactic acid bacteria counts. However, three thermophilic bacteria, Anoxybacillus contaminants, Neobacillus thermocopriae, and Anoxybacillus flavithermus, dominated across processing steps. Notably, Pseudomonas species were undetected by conventional plating but identified via Nanopore sequencing, highlighting the need for molecular detection methods. Although antimicrobial interventions significantly reduced bacterial …


A Comparison Of Reading Fluency Interventions: Group Repeated Reading And Rapid Read, Michelle Renee Poynter Dec 2024

A Comparison Of Reading Fluency Interventions: Group Repeated Reading And Rapid Read, Michelle Renee Poynter

Theses and Dissertations

Reading fluency is a crucial skill to learn to be successful in school and in life. Research indicates that the most effective and widely used group interventions to increase children’s reading fluency such as repeated reading have been used with minimal to no modifications since their development. Although there are many reading fluency strategies and interventions to select from, few group reading fluency interventions have emerged in the literature with enough evidence to support their use. It is crucial to implement effective and efficient group reading fluency intervention to decrease the time the student spends instructionally behind peers as well …


Physics-Based And Data-Driven Constitutive Modeling Of Unsaturated Soils Under Multi-Physics Loading Conditions, Mohsen Ajdari Dec 2024

Physics-Based And Data-Driven Constitutive Modeling Of Unsaturated Soils Under Multi-Physics Loading Conditions, Mohsen Ajdari

Theses and Dissertations

Understanding the behavior of unsaturated soils under multi-physics loading is crucial for addressing several challenges related to emerging geo-energy technologies, climate change, and geohazard mitigation. The main objective of this research is to enhance the state of the art for modeling unsaturated soils under multi-physics loading conditions through physics-based and data-driven approaches. Toward this objective, this dissertation is divided into two distinct yet interrelated parts. In the first part (Chapters 2, 3, and 4), thermodynamic principles are employed to develop new constitutive functions to describe soil suction and stress-dilatancy of unsaturated soils under temperature-dependent conditions. Building upon the insights gained …


Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura Dec 2024

Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura

Theses and Dissertations

Light absorption and scattering are fundamental properties of matter, particularly significant in nanoscale materials. This study explores how cascading optical processes affect the experimental measurement of absorption and scattering intensities, along with scattering depolarization, in samples containing absorbers and scatterers. The experimental UV–vis spectrum results from the combination of absorption and scattering extinction spectra. However, the maximum measurable extinction may be limited by forward scattered light. Light absorption decreases the intensity of scattered light and influences scattering depolarization. While scattering can reduce absorption along the optical path to the detector, sufficient absorption of the scattered light may counterbalance this effect, …


Beyond The Classroom: Leveraging P-12 Education Brand Equity To Cultivate Community Capitals And Drive Economic Growth In Rural Mississippi, Patrick Braden Miller Dec 2024

Beyond The Classroom: Leveraging P-12 Education Brand Equity To Cultivate Community Capitals And Drive Economic Growth In Rural Mississippi, Patrick Braden Miller

Theses and Dissertations

This dissertation explores the relationship between education brand equity and community-economic development in rural Mississippi as a result of a consumer-oriented approach to education and manifested through the modern school choice movement. A survey of public school superintendents (n=28) found a statistically positive correlation, suggesting that a strong school brand leads to increased community-economic development. The Community Capitals Framework suggests this connection is due to interconnected capitals like human and social capital but helps other capitals rise as well. Additionally, superintendents overwhelmingly agreed collaboration between education and community-economic development is essential. The research also examined perceptions of school choice. Superintendents’responses …


Perceptions Of University Staff Member Organizational Belonging In Higher Education: A Quantitative Analysis, Amanda Mcknight Baine Dec 2024

Perceptions Of University Staff Member Organizational Belonging In Higher Education: A Quantitative Analysis, Amanda Mcknight Baine

Theses and Dissertations

The purpose of this study is to examine organizational belonging among staff members working in higher education. While staff members are vital to the operations, maintenance and overall organizational function of higher education institutions, this group represents a seldom studied population. Given their essential role and the impact of the pandemic on work life perspectives, it is important to recognize the experiences of staff members and seek to understand current perceptions of organizational belonging with implications from retention to work quality. To measure organizational belonging, a modified survey developed by Blau et al. (2023) was used, looking at 4 scale …


Understanding The Correlation Between Socioeconomic Status And Student Achievement Amongst High School Students In Rural Mississippi, Aiesha L. Brooks-Hodges Dec 2024

Understanding The Correlation Between Socioeconomic Status And Student Achievement Amongst High School Students In Rural Mississippi, Aiesha L. Brooks-Hodges

Theses and Dissertations

This study examines the relationship between socioeconomic status (SES) and student achievement among high school students in rural Mississippi. By using a mixed-methods approach that combines quantitative data from the Mississippi Department of Education’s Accountability Report Card with qualitative data from student surveys and teacher interviews, this paper explores how SES factors such as parental income and education affect academic outcomes in rural settings. The study highlights the significant disparities between low-SES and high-SES students in terms of standardized test scores, graduation rates, and access to educational resources. The findings suggest that addressing these disparities will require targeted interventions at …


It’S About Time: Early Bronze Age Chronology Further Refined With 14c Testing At Tell El-Hesi, Erika Marie Niemann Dec 2024

It’S About Time: Early Bronze Age Chronology Further Refined With 14c Testing At Tell El-Hesi, Erika Marie Niemann

Theses and Dissertations

In 2019, the author re-presented two 14C dates for Tell el-Hesi in the northern Negev desert of modern-day Israel that were originally published in 2006 by Anderson. Here, 10 additional samples out of the total recovered corpus by The Joint Archaeological Expedition to Tell el-Hesi in 1979 from the EB III occupation in Field VI, were 14C tested to refine further the EB III absolute dates for the site. The samples come from two main contexts along the EB III city wall, representing both the interior occupational debris and an ash dump feature found along the exterior of the city …


Projecting Land Cover Changes And Impacts On Bird Conservation Using Geographic Information System, Remote Sensing And A Cellular Automata – Artificial Neural Network Model In Nairobi National Park, Kenya., Frank Juma Ong'ondo Dec 2024

Projecting Land Cover Changes And Impacts On Bird Conservation Using Geographic Information System, Remote Sensing And A Cellular Automata – Artificial Neural Network Model In Nairobi National Park, Kenya., Frank Juma Ong'ondo

Theses and Dissertations

This study examines land cover changes and their projected future impacts on bird species conservation in and around Nairobi National Park, Kenya. 2016 and 2023 Satellite imagery, analyzed through Google Earth Engine and the MOLUSCE plugin were used to assess changes in five land cover types: grassland, shrubland, forest, urban, and water. Bird population data from the Kenya Bird Map were used to evaluate birds' responses to land cover changes. Birds were categorized into five habitat guilds—grassland-dependent, shrubland-dependent, forest-dependent, water-dependent, and urban-dependent bird species. Between 2016 and 2023, grassland and shrubland decreased by 14.21% and 5.54%, respectively, and urban increased …


Discrimination The Roles Of Anthropogenic Greenhouse Gases And Aerosols On Tropical Cyclone Frequency From Downscaling Cmip6 Models, George Gyabaah Dec 2024

Discrimination The Roles Of Anthropogenic Greenhouse Gases And Aerosols On Tropical Cyclone Frequency From Downscaling Cmip6 Models, George Gyabaah

Theses and Dissertations

Tropical cyclones (TCs) are devastating disasters, yet predicting their future activity remains highly uncertain. To better understand the impacts of different anthropogenic forcings, specifically greenhouse gases (GHG) and aerosols on the TCs, I downscaled the single forcing experiments of 11 CMIP6 models in the Columbia HAZard Model (CHAZ). This analysis focused on changes in the distribution of the North Atlantic (ATL) and Western North Pacific (WNP) basins and explored the shift in environmental variables that drive them. We then used the formulation of the genesis component of CHAZ as a constraint to quantify the relative contribution of each predictor relative …


Exploring Single Particles Through Optical Trapping And Advanced Laser Spectroscopy Techniques, Haifa Hassan Alali Dec 2024

Exploring Single Particles Through Optical Trapping And Advanced Laser Spectroscopy Techniques, Haifa Hassan Alali

Theses and Dissertations

This dissertation explores the innovative integration of optical trapping (OT) with advanced laser spectroscopy techniques to investigate the physicochemical properties of single particles from a variety of atmospheric aerosols, such as bioaerosols, terrestrial dust, and extraterrestrial dust. Each technique offers unique insights, significantly enhancing our understanding of these critical atmospheric components. The first work focuses on employing OT in conjunction with cavity ringdown spectroscopy (OT-CRDS) to measure the single-particle extinction of interplanetary dust particles at ultraviolet wavelengths (~308 nm). This method allows for the stable trapping of individual dust particles in air, facilitating precise characterization with minimal external interference. Our …


Assessing Plate Load Testing And Modulus Of Subgrade Reaction Determination For Pavements, Jami Lynn Rushing Dec 2024

Assessing Plate Load Testing And Modulus Of Subgrade Reaction Determination For Pavements, Jami Lynn Rushing

Theses and Dissertations

This thesis aims to: 1) determine the effect of plate size on the modulus of subgrade reaction (k), 2) investigate the differences between the ASTM D1196-21 and CRD-C 655-95 plate load test methods, and 3) develop new effective k curves. 150 plate load tests were executed on three subgrade materials under varying base course thicknesses. Plate load testing was designed to evaluate various plate sizes and testing standards (e.g., the military standard – CRD-C 655-96 and the ASTM standard – ASTM D1196-21). By performing plate load tests on varying base course thicknesses, newly developed effective k curves were developed from …


Advances In Cluster Detection Via Order Statistics, Renewal Processes And Model Selection Methods With Applications To Financial Forensic Statistics, Kwabena Ansong Boateng Dec 2024

Advances In Cluster Detection Via Order Statistics, Renewal Processes And Model Selection Methods With Applications To Financial Forensic Statistics, Kwabena Ansong Boateng

Theses and Dissertations

This dissertation develops a novel method to detect clusters that appear in financial transaction data that are linked to fraud. The methods utilize properties of order statistics, renewal processes, and model segmentation. We apply the Minimum Description Length (MDL) principle to select the best model. Our technique makes use of a genetic algorithm to determine the number and location of anomalous cluster(s) embedded in a set of financial transactions. We apply our novel cluster detection method to the Paycheck Protection Program (PPP), a U.S. Government initiative launched in April 2020 amid the COVID-19 pandemic to aid small businesses affected by …


Effects Of Eugenol And Carvacrol In Combination Against Salmonella In Hummus, Lauryn Ashley Heidelberg Dec 2024

Effects Of Eugenol And Carvacrol In Combination Against Salmonella In Hummus, Lauryn Ashley Heidelberg

Theses and Dissertations

Hummus consumption has risen but multiple foodborne outbreaks due to Salmonella contamination have been reported. Essential oils (EOs) eugenol and carvacrol have been found to inhibit the growth and survival of Salmonella in food products. The objective was to evaluate antibacterial properties of various concentrations of eugenol (EU) and carvacrol (CA), alone or in combination (EUCA) against Salmonella in vitro and in hummus. Eugenol demonstrated a MIC of 0.125 mg/mL and an MBC of 0.25 mg/mL, while carvacrol showed a MIC of 0.0625 mg/mL and an MBC of 0.125 mg/mL. In the hummus study, 2% EUCA was the most effective …


The Effect Of Teacher Efficacy On Career Technical Education Program Participation In Select Mississippi Schools, Lori Parkman Nail Dec 2024

The Effect Of Teacher Efficacy On Career Technical Education Program Participation In Select Mississippi Schools, Lori Parkman Nail

Theses and Dissertations

The primary purpose of this study was to determine to what degree school staff understood the benefits and outcomes of Career Technical Education programs and how this level of understanding impacted Career Technical Education program enrollment in five selected schools in Mississippi. The levels of understanding keyed in on three pivotal factors. First, perceptions of the availability and accessibility of Career Technical Education programs to students in the participating schools were measured. Second, the perceptions of the benefits students reap from being involved in Career Technical Education programs were examined. Next, the perceptions of the benefits Career Technical Education programs …


Bridging Scales Integrating Satellite Derived With Airborne And Uas-Collected Bathymetry For Coastal And Inland Water Management, Md Salman Bashit Dec 2024

Bridging Scales Integrating Satellite Derived With Airborne And Uas-Collected Bathymetry For Coastal And Inland Water Management, Md Salman Bashit

Theses and Dissertations

This study makes important scientific contributions by improving remote sensing methods for collecting bathymetric data. It demonstrates an improved and novel approach to utilizing Sentinel-2 reflectance data to extract satellite-derived bathymetry (SDB), validated against data from airborne LiDAR bathymetry (ALB). The study looks at how well SDB works in several coastal areas of the United States. It uses the Normalized Difference Turbidity Index (NDTI) and Total Suspended Solids (TSS) to see how water quality affects the accuracy of SDB. The study also analyzes how unoccupied aerial systems (UAS) can be combined with echo sounder systems to derive bathymetric maps with …


"We Don't Say That, Margaret!" : Narratives Of White Women Admissions Officers And Their Exploration Of Whiteness And White Racial Identity, Kelsey Aline Walker Dec 2024

"We Don't Say That, Margaret!" : Narratives Of White Women Admissions Officers And Their Exploration Of Whiteness And White Racial Identity, Kelsey Aline Walker

Theses and Dissertations

This qualitative narrative inquiry study examined the narratives and experiences of White women admissions officers at predominantly white institutions (PWIs) and explored how they engaged with the development of their white racial identity throughout their professional careers. Using Critical Whiteness Studies (CWS) and Helms’ (1990) white racial identity development model, the research questions were: What are White women admissions officers’ narratives of their experiences with whiteness at predominately white institutions? How do White women's admission officers make meaning of their racial identity? Data was collected from seven White women admissions officers through a demographic survey and two 45-60-minute interviews. The …


Development And Changes Over Time Of A Granola Bar Formulated With Sweet Potatoes, Meredith Kate Maynard Dec 2024

Development And Changes Over Time Of A Granola Bar Formulated With Sweet Potatoes, Meredith Kate Maynard

Theses and Dissertations

Sweet potatoes are a worldwide staple crop and granola bars are popular with consumers. This study aims to create a granola bar utilizing sweet potatoes and to assess its changes over time. Initial formulations tested minimum and maximum concentration of sweet potato (SP) puree, formulations, cooking type and time/temperature, humectants and preservatives. Bars containing 30 and 45% SP butter were chosen. Changes over time and descriptive sensory evaluation were conducted every 14d for 70d, with four treatments: a control bar and a bar with a preservative, each held at 25°C and 47°C. Water activity and moisture decreased by 0.05 and …


Effects Of Turbulence On Scramjet Engines Combustion, Mohamed En-Nali Dec 2024

Effects Of Turbulence On Scramjet Engines Combustion, Mohamed En-Nali

Theses and Dissertations

In the present work, we aim to investigate the predictive capabilities of low and high-fidelity turbulence models and understand how they perform in complex conditions in a scramjet engine. In this study, we use the DLR experiments to present a comparative performance assessment of low to high fidelity turbulence models. The DLR case is interesting since it exhibits turbulence due to wall effects as well as due to shear layer. Results show relatively good agreement when compared against the validation data set from the experiment. DHRL was able to resolve more turbulence structures compared to all other models. HRL showed …


A Case Against Exclusive Reliance On Volumetric Mixture Characterization For Future Asphalt Pavements And The Advancement Of A Viable Alternative, Jonathan Randy Easterling Dec 2024

A Case Against Exclusive Reliance On Volumetric Mixture Characterization For Future Asphalt Pavements And The Advancement Of A Viable Alternative, Jonathan Randy Easterling

Theses and Dissertations

Volumetric properties have been the cornerstone of asphalt mixture design and control dating back to the early 20th century. However, social and economic drivers have caused the asphalt industry to make changes in materials and processes used to produce mixtures that have stretched the limits of volumetric centric methodologies. The primary objectives of this dissertation were to present an extensive case on how volumetrics is limited in their ability to characterize asphalt mixtures and to advance the body of knowledge of a viable alternative. State agency specifications were examined and found that Departments of Transportation (DOTs) were using asphalt volumetric …


Enhanced Intellectual Property Protection Mechanisms Towards Collaborative Data Sharing In Metal-Based Additive Manufacturing, Durant Hayes Fullington Dec 2024

Enhanced Intellectual Property Protection Mechanisms Towards Collaborative Data Sharing In Metal-Based Additive Manufacturing, Durant Hayes Fullington

Theses and Dissertations

This dissertation aims to develop effective methodologies towards enhanced intellectual property protections for data sharing frameworks in metal-based additive manufacturing (AM). Currently, many small-to-medium sized manufacturers face data availability challenges due to the prohibitive high cost to collect, process, and analyze large amounts of process-related data for AM. Because these manufactures rely heavily on small-scale data, it can be difficult for them to effectively train complex machine learning (ML) algorithms, which are commonly used for AM process monitoring. One popular solution is to develop collaborative data sharing frameworks, where multiple independent AM users can share their data to increase the …


Habitat Suitability Modeling For Optimizing Stand Initiation And Restoration Efforts Of Economically And Ecologically Important Hardwoods, Segun Michael Adeyemo Dec 2024

Habitat Suitability Modeling For Optimizing Stand Initiation And Restoration Efforts Of Economically And Ecologically Important Hardwoods, Segun Michael Adeyemo

Theses and Dissertations

This dissertation addresses critical challenges in forest management and restoration in the Lower Mississippi Alluvial Valley (LMAV) through a series of interconnected studies focused on improving habitat suitability modeling and growth prediction for oak species. The research employs advanced modeling techniques to enhance our understanding of species-habitat relationships and forest dynamics in the context of climate change. Initial studies focused on developing ensemble habitat suitability models for American chestnut (Castanea dentata) and butternut (Juglans cinerea), two historically important but currently threatened tree species. These models predict suitable habitats and potential range shifts under various climate change scenarios, highlighting the species' …


Review Of Inverter Functionality Requirements In Ieee 1547 For Voltage Fault Ride-Through, Tyler Coby Jonathan May Dec 2024

Review Of Inverter Functionality Requirements In Ieee 1547 For Voltage Fault Ride-Through, Tyler Coby Jonathan May

Theses and Dissertations

The introduction of Distributed Energy Resources such as energy storage systems, solar, and wind create system dynamics which modern electric grids cannot reliably handle in such large quantities without properly coordinated protections. One such tool is the concept of Fault Ride Through, which allows a system to continue operation during a long-term minor or short-term major disturbance. Standards are in place to control and monitor the operation and recovery of this capability but are meant to be minimum or maximum requirements. Since these standards must be used nationally, or sometimes internationally, they tend to be left very flexible. The rise …


Investigation Of Coupled Fluid-Structure Interactions In Supersonic Flows, Seshendra Palakurthy Dec 2024

Investigation Of Coupled Fluid-Structure Interactions In Supersonic Flows, Seshendra Palakurthy

Theses and Dissertations

The skin panels used in high-speed flights are exposed to various types of loads, such as inertial, elastic, and aerodynamic loads. In addition, oblique shock impingement can cause flow separation and unsteady aerodynamic loading, which can reduce vehicle performance and result in acoustic noise and viscous heating. These loads, when combined, can result in a complex dynamic response, such as flutter. Flutter is characterized by sustained unsteadiness or structural vibrations. Although flutter might not be immediately harmful, it can lead to fatigue failure of the structural components. A vast amount of literature already exists on the panel flutter induced by …


Mapping Invasive Aquatic Plants Using Deep Learning Classification And Segmentation Models, Ruchitha Yadav Prakash Dec 2024

Mapping Invasive Aquatic Plants Using Deep Learning Classification And Segmentation Models, Ruchitha Yadav Prakash

Theses and Dissertations

High-resolution imagery from Uncrewed Aerial Systems (UAS) equipped with multispec tral(MSI) and RGB sensors can be used for mapping invasive aquatic species. This research employs classification models like CNN, AlexNet, VGG16, ResNet, and DenseNet, alongside segmentation models such as FCN, U-Net, SegNet, DeepLabV3+, and Mask R-CNN, to analyze and visualize four invasive aquatic species including Cuban Bulrush (Oxycaryum cubense), Water Hyacinth (Eichhornia crassipes), Juncus (Juncus effusus), and Cattail (Typha latifolia). Among the tested models, ResNet (97.44% for RGB)andDenseNet(96.20%forMSI)exhibitedthehighest classification accuracies. For segmentation tasks, FCN (75.5% for RGB) and SegNet (79.6% for MSI) excelled. The study also examines the computational complexity …


A Mixed Method Descriptive Case Study Of Cio Roles And Organizational Positioning In Information Technology Strategic Planning At Community Colleges In A Southern State, Adell Brooks Dec 2024

A Mixed Method Descriptive Case Study Of Cio Roles And Organizational Positioning In Information Technology Strategic Planning At Community Colleges In A Southern State, Adell Brooks

Theses and Dissertations

ABSTRACT The role of a Chief Information Officer (CIO) or a Chief Technology Officer (CTO) within higher education is essential, though not well defined or understood. At all levels of the institution a CIO/CTO impacts the information technology (IT) systems required for the security and the ability of the college or university to operate and to support student success. Institutions of higher education are dependent on the IT department for college-issued computers, for software services, for library functioning, and for driving innovation to keep the college competitive for enrollment and student success. Although the CIO role is essential to a …


A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri Dec 2024

A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri

Theses and Dissertations

As the field of Natural Language Processing (NLP) continues to evolve, evaluating the performance of both proprietary and open-source language models has become increasingly critical. This research provides a comprehensive analysis of proprietary models like GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo, alongside open-source models such as FLAN-T5, GPT-Neo, and GPT-2. By leveraging traditional metrics like ROUGE and BLEU, as well as custom metrics including ReGrAde, Contextual Precision, and Faithfulness, the study evaluates these models across closed-domain tasks (e.g., factual question-answering) and open-domain tasks (e.g., creative writing and brainstorming). The proprietary models excelled in structured, fact-based tasks, while the open-source models …