Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (1822)
- Physical Sciences and Mathematics (558)
- Electrical and Computer Engineering (508)
- Electrical and Electronics (473)
- Business (417)
-
- Chemical Engineering (396)
- Arts and Humanities (378)
- Education (279)
- Mechanical Engineering (268)
- Computer Sciences (253)
- Medicine and Health Sciences (241)
- Social and Behavioral Sciences (241)
- Life Sciences (217)
- Biomedical Engineering and Bioengineering (208)
- Civil and Environmental Engineering (170)
- Environmental Sciences (132)
- Operations Research, Systems Engineering and Industrial Engineering (129)
- Business Administration, Management, and Operations (104)
- Civil Engineering (98)
- Physics (78)
- Computer Engineering (77)
- Manufacturing (74)
- Psychology (67)
- Chemistry (51)
- Curriculum and Instruction (51)
- Environmental Engineering (51)
- Philosophy (51)
- Art and Design (49)
- Materials Science and Engineering (46)
- Biology (43)
- Institution
-
- Rochester Institute of Technology (5721)
- New Jersey Institute of Technology (1948)
- Lindenwood University (799)
- University of Alabama in Huntsville (409)
- Munster Technological University (363)
-
- United Arab Emirates University (361)
- Southern Illinois University Carbondale (248)
- University of Missouri, St. Louis (237)
- The University of Notre Dame Australia (152)
- North Carolina Agricultural and Technical State University (149)
- Jacksonville State University (41)
- Seton Hall University (34)
- Technological University Dublin (34)
- University of San Diego (28)
- Sigma Theta Tau International Honor Society of Nursing (27)
- University of North Alabama (21)
- Zayed University (13)
- St. Mary's University (5)
- Keyword
-
- None provided (437)
- Thesis (230)
- Machine learning (196)
- Photography (97)
- Computer vision (95)
-
- Imaging science (95)
- Printing (93)
- Animation (89)
- Mechanical engineering (83)
- Deep learning (79)
- Design (68)
- Artificial intelligence (62)
- Image processing (61)
- Remote sensing (59)
- Computer engineering (58)
- Graphic design (56)
- Art (54)
- Education (53)
- Computer graphics (48)
- Electrical engineering (37)
- Film (37)
- Machine Learning (36)
- Security (36)
- Packaging science (35)
- Simulation (34)
- Painting (33)
- Chemistry (32)
- Creative writing (32)
- Image quality (32)
- Medical illustration (32)
- Publication Year
- Publication Type
Articles 421 - 450 of 10590
Full-Text Articles in Entire DC Network
Embodied Intimacy And Social Justice: Patricia Cronin's Memorial To A Marriage, Alex Anne Mattioli
Embodied Intimacy And Social Justice: Patricia Cronin's Memorial To A Marriage, Alex Anne Mattioli
Theses
This paper examines Patricia Cronin’s Memorial to a Marriage (2002) as a pivotal work within her artistic catalogue, one that engages deeply with themes of intimacy, identity, and social justice. Created at a time when same-sex marriage was illegal in the United States, Memorial to a Marriage represents Cronin and her partner, feminist artist, Deborah Kass, in a Classical funerary sculpture, reclaiming the tradition of public monuments to center an LGBTQIA+ experience from memory. Through a critical analysis of Memorial to a Marriage within Cronin’s broader artistic practice, this study explores how the sculpture challenges the conventions of public art …
“For There Is Hope Of A Tree…”: A Study Of Two Historic African American Cemeteries In Pope County, Illinois, Martha Clare Buchert
“For There Is Hope Of A Tree…”: A Study Of Two Historic African American Cemeteries In Pope County, Illinois, Martha Clare Buchert
Theses
To add to a growing body of academic literature regarding historic African American cemeteries, this study examines two such cemeteries located in Pope County, Illinois: the Miller Grove Cemetery and the Hill Cemetery. Utilizing several different investigative methods, including pedestrian survey, geophysical survey, and historic research, the archaeological features and material culture of both cemeteries were studied to see what could be learned about their associated communities without ground disturbance. The results of these methods demonstrate the connections of members within these communities and the interconnectedness of historic African American settlements throughout southern Illinois and the greater Midwest. They also …
Don’T Stop Game, The Effects Of A Demerit-Based System, David Buckles
Don’T Stop Game, The Effects Of A Demerit-Based System, David Buckles
Theses
Physical activity is an essential component of an overall healthy lifestyle. It has been shown that implementing weekly physical activities reduces the risk of non-communicative diseases such as heart disease, hypertension, diabetes, and obesity. There have been an increasing number of studies showing that the physical activity of those with learning disabilities is much lower than that of neurotypical individuals. More studies are needed to identify effective interventions to increase the physical activity of those with learning disabilities. The current study evaluated the effect of the Don’t Stop Game on the mean number of steps taken per minute with adults …
Crystallization Of Pyrite From Acidic Hydrothermal Solutions, Junior Osei Agyemang
Crystallization Of Pyrite From Acidic Hydrothermal Solutions, Junior Osei Agyemang
Theses
The crystallization of iron sulfides, such as pyrite and pyrrhotite, is of great significance due to their common association with most ore deposits around the world. Understanding the formation of these iron sulfides can give as insight into the genesis of the associated ore deposits. This study examines some of the factors influencing the crystallization of these iron sulfides from acidic hydrothermal solutions, with a focus on variations in solution composition and temperature. Under a well-controlled laboratory environment, the effect of variations in concentration and temperatures were studied. Analytical methods such as Scanning electron microscopy (SEM) and X-ray diffraction (XRD) …
Methionine Matters: Comparative Dynamic Insights Into Viral Inhibition Of Host Rna Export Via Rae1-Nup98, Skye Bixler
Methionine Matters: Comparative Dynamic Insights Into Viral Inhibition Of Host Rna Export Via Rae1-Nup98, Skye Bixler
Theses
Over time, viruses have evolved a myriad of mechanisms to gain an advantage in the virus-host battle, such as inhibiting host mRNA export through RNA Export Factor 1 (Rae1) and Nucleoporin 98 (Nup98). This strategy employed by the Vesicular Stomatitis Virus (VSV) M protein, Kaposi’s Sarcoma-Associated Herpesvirus (KSHV) ORF10, and SARS-CoV-1/2 ORF6 disrupts antiviral production. Despite their evolutionary distance, these viral proteins share a key methionine flanked by acidic residues that competitively bind to the ssRNA binding pocket of Rae1. The VSV mutant, R1, carries an M51R mutation that disrupts viral inhibition and restores host gene export— a pattern observed …
Using Generative Ai For Tutoring Data Science, Yusra Khalid
Using Generative Ai For Tutoring Data Science, Yusra Khalid
Theses
A large increase in the use of Generative AI has been observed in the last few years. Data science is also a rapidly growing field with a high demand for skilled professionals. The goal of this thesis is to explore the potential of Generative AI, specifically ChatGPT, in facilitating data science education. The focus is on how ChatGPT can be used as a tutor to help solve practical exercises. The capabilities of Generative AI were explored along with the comparison of a few different models in terms of data science. Exploratory analysis was conducted to compare Generative AI models and …
A Remote Sensing-Based Evaluation Of Road And Electricity Infrastructure Expansion Effects On Development In Sub-Saharan Africa, Tunmise Ibukun Raji
A Remote Sensing-Based Evaluation Of Road And Electricity Infrastructure Expansion Effects On Development In Sub-Saharan Africa, Tunmise Ibukun Raji
Theses
Sub-Saharan African countries consistently rank low on human development indicators despite decades of international aid and domestic investment. To address these challenges, governments across the region are allocating substantial portions of their national budgets to infrastructure expansion, viewing it as a catalyst for accelerated socio-economic development. However, given severely constrained budgets, these nations often face trade-offs between infrastructure development and investment in other important sectors such as healthcare and education. This highlights the need for infrastructure investments to deliver their anticipated benefits. This dissertation examines the relationship between infrastructure development and socio-economic development in Sub-Saharan Africa, with a particular focus …
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Theses
This dissertation details the creation and assessment of a machine learning algorithm designed to identify fake news utilizing Natural Language Processing (NLP) methods. The research employs several machines learning models, including Long Short-Term Memory (LSTM) and other deep learning techniques, to detect and classify misleading information. Data is sourced from a variety of platforms, such as social media and online news outlets, to compile a thorough dataset. The data is pre-processed to eliminate noise, address missing values, and extract essential features through techniques like tokenization, stop-word removal, and lemmatization. The performance of the models is evaluated using key metrics such …
Groundwater Storage Dynamics In Abu Dhabi Emirate Using In-Situ And Grace Data, Tala Jalal Maksoud
Groundwater Storage Dynamics In Abu Dhabi Emirate Using In-Situ And Grace Data, Tala Jalal Maksoud
Theses
Water scarcity presents a significant challenge to the sustainable development; especially in arid regions like Abu Dhabi Emirate. Addressing concerns over nonrenewable aquifer depletion, caused by agricultural expansion and lifestyle advancements, has, therefore, become crucial in such regions. This thesis investigates Groundwater Storage (GWS) dynamics in Abu Dhabi Emirate by integrating satellite data from the Gravity Recovery and Climate Experiment (GRACE) with in-situ data from 257 wells over two decades (2002-2022), employing GIS and RS technologies. The main aim of this study is to provide a comprehensive approach to evaluate GWS dynamics considering multiple perspectives including: dealing with missing datasets, …
Gender Knobs, Jordan Faye Bardgett
Gender Knobs, Jordan Faye Bardgett
Theses
Gender Knobs is a performance art piece that tells the histories of both the technology surrounding pitch shifting devices like the vocoder as well as well as the personal history of the voice of the performer, Jordan, regarding their queer identity as non-binary trans woman. The performance is a combination of lecture, personal storytelling, and sound performance within a theatrical setting with musical accompaniment and projected visuals.
A Costuming Carol: A Costume Design Thesis On A Christmas Carol, Aleka Fischer
A Costuming Carol: A Costume Design Thesis On A Christmas Carol, Aleka Fischer
Theses
This thesis is a collection of research, analysis, design, and production work done for the costumes for A Christmas Carol. The play production took place in the McLeod Theater at Southern Illinois University from December 5th- December 8th, 2024. The play was written by Darwin Reid Payne and published in 1981. It is an adaptation of the novella A Christmas Carolby Charles Dickens. Chapter 1 contains the research and script analysis used to make design decisions for this production. Chapter 2 documents the design process, and how the costume design evolved between the first and final design meetings. Chapter 3 …
Determinants Of Agricultural Productivity In The Leading Producing Countries Worldwide, Seidu Musah
Determinants Of Agricultural Productivity In The Leading Producing Countries Worldwide, Seidu Musah
Theses
Agricultural production is one of the widely expanded business sectors in the world. The aim of this study is to find out the driving factors behind cereal and soybean productivity as well as the production trends in the top twenty cereal and top seven soybean producing countries, respectively. Secondary data, which include both time series and cross-sectional data, were used for the analysis of 520 observations from the top twenty cereal producing countries and 427 observations from the top seven soybean producing countries.The panel data regression model was the statistical tool adopted in this study to determine the factors driving …
Encapsulation Of Lactobacillus Reuteri Dsm 17938 In W/O/W Emulsion: Influence Of Oil Type On Viability And Oxidative Stability, Nora Mohamed Alantali
Encapsulation Of Lactobacillus Reuteri Dsm 17938 In W/O/W Emulsion: Influence Of Oil Type On Viability And Oxidative Stability, Nora Mohamed Alantali
Theses
Probiotics, known for their wide range of health benefits, have been gaining recognition on their effects on the gut-brain axis. This axis, operated via various pathways, can be modulated by the type and functions of probiotics found in the gut microflora. However, probiotics face several stress factors before reaching the gut which hinders them from being functional. The main objective of this thesis was to construct a stable double-emulsion-based delivery system for probiotics, which can act as a barrier against the harsh conditions of the digestive system. Lactobacillus reuteri DSM 17938 was loaded in a water-in-oil-in-water Pickering double emulsion system, …
Reducing Co2 Levels In A Classroom Through The Use Of Biofilters, Jenna Rosser
Reducing Co2 Levels In A Classroom Through The Use Of Biofilters, Jenna Rosser
Theses
We spend 80% of our time indoors and are seeing an increase in indoor pollutants (Sharma et al., 2022). With the push to create more energy efficient buildings, the envelopes are becoming more airtight. As a result, indoor air quality (IAQ) has decreased due to the inability of indoor pollutants to escape from the building as easily through cracks and seams. (Irga et al., 2018; Satish et al., 2012). To date, there is a lot of existing research in regard to the role biofilters play in improving IAQ. Research ranges from having examined specific parts of the plants, soil conditions, …
Beyond Regex – Heuristic-Based Secret Detection, Jesse Burdick-Pless
Beyond Regex – Heuristic-Based Secret Detection, Jesse Burdick-Pless
Theses
Accidental token or credential leakage presents a significant concern within digital environments. Current detection methods of such secrets employ ruleset-based techniques to identify secret information. These methods use pattern recognition within strings (i.e., regex rules) to pinpoint characteristics that resemble various types of secrets. However, regex does not allow for detection of secrets that lack specific patterns, such as passwords. This research addresses the possibility of using heuristics and machine learning to develop a reliable and accurate method for determining if a given string is merely a piece of inconsequential data or a leaked secret requiring timely attention, without the …
Modelling And Optimization Of A Desiccant Cooling System For Industrial Applications In Dubai, Ahmad Ababneh
Modelling And Optimization Of A Desiccant Cooling System For Industrial Applications In Dubai, Ahmad Ababneh
Theses
The study examines the modelling and optimization of solar-assisted desiccant cooling systems (SADCS) specifically designed for industrial applications in Dubai. Four system configurations were evaluated under Dubai's extreme climate using TRNSYS 18 simulation software: classic ventilation, variable percentage recirculation, ventilation with a sensible heat exchanger that utilizes exhaust air to preheat the feed of the auxiliary heating air, and recirculation with a sensible heat exchanger that also utilizes exhaust air for preheating the auxiliary heating air feed. A parametric study comprising 60 simulation cases was performed, examining variations in desiccant wheel effectiveness, airflow rates (3–5 ACH), regeneration temperatures (50–80 °C), …
The Drifter: Creating A Family Archive To Rediscover Lost History, Gabriella Smith
The Drifter: Creating A Family Archive To Rediscover Lost History, Gabriella Smith
Theses
When history goes undocumented or removed from public access, there is always a question as to how to preserve it. This thesis focuses on the creation of a family archive as a means to preserve and rediscover lost history. When lost history is recovered stories can be completed and we, as a civilization, can gain a better understanding of what our history is. This will be showcased through the creation of the Jerrold Smith Family Archive. Jerrold Smith (1941-1986) a native Rochesterian, grew up with a love of crafts and creating new things. When he passed, he left behind a …
Criminal Activity Monitoring System: Targeting Africans And East Asian Communities In Dubai, Hamdan Kalantar
Criminal Activity Monitoring System: Targeting Africans And East Asian Communities In Dubai, Hamdan Kalantar
Theses
This dissertation investigates crime patterns among African and East Asian communities in Dubai, focusing on geographic hotspots, temporal trends, victim demographics, and the use of machine learning for predictive crime modeling. The research addresses the challenges faced by these communities, including labor exploitation, financial fraud, and human trafficking, within the socio-economic context of a rapidly growing urban city. Building on existing studies of urban crime, this research aimed to explore the spatial, temporal, and demographic dynamics of crimes and assess the potential of predictive models to assist law enforcement in crime prevention and resource allocation. A mixed-methods approach was employed, …
Roads Of Tomorrow: Augmented Reality For Enhanced Road Maintenance, Nasser Humaid Alshamsi
Roads Of Tomorrow: Augmented Reality For Enhanced Road Maintenance, Nasser Humaid Alshamsi
Theses
The rapid deterioration of roads creates major obstacles that affect public security, urban movement capacity, and economic durability. Standardized road maintenance operations depend heavily on human inspections that prove time-consuming while being labour-intensive and subject to human mistakes. Implementing Augmented Reality (AR) with Point Cloud Data represents a smart approach that improves delivery efficiency in road maintenance procedures for modern cities. AR enables real-time visual content and interactive displays through this research, yet Point Cloud Data delivers detailed, precise road inspections through high-definition three-dimensional mapping. These technologies are evaluated for their usability, effectiveness, and adoption barriers in research that advance …
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Theses
The decisions of the Supreme Court of the United States, along with its reasoning, influence the direction and scope of historical events. Through an analysis of landmark dissents from four of the worst Supreme Court decisions, Curtis’ dissent in Dred Scott v. Sandford (1857), Harlan’s dissent in Plessy v. Ferguson (1896), Holmes’ dissent in Abrams v. United States (1919), and Murphy’s dissent in Korematsu v. United States (1944), we can take steps towards catalyzing its self repair by stepping away from digital echo chambers and engaging in legitimate dissent. The four cases marked turning points in the efforts to protect …
A Prototype High Power Dc-Dc Converter For Regulating Generator Output Voltage In A Series Hybrid Electric Vehicle, Alex Currie
A Prototype High Power Dc-Dc Converter For Regulating Generator Output Voltage In A Series Hybrid Electric Vehicle, Alex Currie
Theses
As fully electric and hybrid electric vehicles become more commonplace, a strong incentive for innovation in electric powertrain technology has been created. Though the instantaneous power available from an electric motor may appeal to consumers of powersports vehicles, this has been an area with relatively little advancement towards electric architectures. One primary concern of electrifying such a platform is the need for large battery packs that tend not to perform well in the harsh weather conditions often seen in powersports such as snowmobiling. As such, hybrid electric architectures may prove to be a successful middle ground between fossil fuels and …
Uvm Based Verification Of Ee621 Risc Processor Module, Collin Neidel
Uvm Based Verification Of Ee621 Risc Processor Module, Collin Neidel
Theses
In the process of digital design, the majority of efforts are focused on verification. This is because a proper verification environment can help engineers discover bugs that otherwise would have flown under the radar. On the other hand, a poorly designed verification environment could fail to fully confirm the device’s functionality and leave the customer with a buggy mess. For obvious reasons, this should be avoided at all costs, hence the emphasis on functional verification and validation efforts. Throughout time, the complexity of the average design under test (DUT) has increased dramatically, making verification a significant challenge for today’s verification …
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
Theses
This study explores the growing field of Multimodal Sentiment Analysis (MSA), focusing on understanding how advanced fusion techniques can improve sentiment prediction in social media contexts. As platforms like X and TikTok continue to expand and facilitate sharing sentiment through digital media, there is an increasing need for neural network architectures that can accurately interpret sentiment across modalities. We implement a model using BERT for textual features and ResNet for visual features. A cross-attention fusion module aligns the modalities for joint representation. We conduct experiments on the MVSA-Single and MVSA-Multiple datasets, which contain over 5,000 and 17,000 labeled text-image pairs. …
Enhancing Influence Estimation In Gradient Boosted Decision Trees Through Hierarchical Analysis, Anurag Choubey
Enhancing Influence Estimation In Gradient Boosted Decision Trees Through Hierarchical Analysis, Anurag Choubey
Theses
This report presents a novel influence function for gradient-boosted decision trees (GBDTs), a widely-used class of predictive models. Influence estimation aims to quantify how individual training samples affect a model’s predictions, offering valuable insights for model debugging, data quality analysis, and in- terpretability. Existing influence functions for GBDTs—such as LeafInfluence, LeafInfluenceSP, and BoostIn—have shown varying degrees of success, with BoostIn currently recognized as the state-of-the-art in terms of estimation quality and computational efficiency. In this work, we propose BoostInLCA, a new influence function that extends BoostIn by incorporating information from non-leaf nodes via the Lowest Common Ancestor (LCA) path, thereby …
Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji
Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji
Theses
This study explores the issue of employee attrition within the military police force, with a focus on predicting which employees are at risk of leaving. Attrition in law enforcement is costly and disruptive, especially in roles that require long training periods and operational readiness. The research specifically targets the internal organizational factors influencing turnover in military police environments and aims to leverage machine learning models to support the early identification of high-risk individuals. Guided by the CRISP-DM framework, the study followed a structured process across six stages: business understanding, data exploration, preparation, modeling, evaluation, and insight generation. A simulated dataset …
Classification Of Linear Systems Of Equations For Quantum Computing Implementation, Mark Danza
Classification Of Linear Systems Of Equations For Quantum Computing Implementation, Mark Danza
Theses
Drawing nearer to an error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, applicable, and yet difficult to implement in practical terms is the Harrow, Hassidim and Lloyd (HHL) algorithm for linear systems of equations. An enormous number of problems can be expressed as linear systems of equations, from machine learning to fluid dynamics to electrical circuit analysis. However, in most cases, HHL will not be able to provide a practical, reasonable solution to these problems. This work seeks to determine whether problems can be …
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Theses
This thesis addresses the challenge of inefficient lead qualification in the business-to-business (B2B) market by applying machine learning techniques to predict the likelihood of winning a sales opportunity. Using a real-world dataset of over 78,000 records and 17 variables, the study aims to improve how sales teams identify and prioritize high-conversion leads. A thorough data preparation process was conducted, including handling of missing values, outlier detection, and under-sampling to resolve class imbalance between won and lost opportunities. After thorough data cleaning, preprocessing, and under-sampling to address class imbalance, five machine learning models were developed: Logistic Regression, Random Forest, Neural Network, …
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Theses
In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …
Back To The Basics: Extracellular Protein Interaction Networks Of The Human Infant Immune System, Mavis Amity Irwin
Back To The Basics: Extracellular Protein Interaction Networks Of The Human Infant Immune System, Mavis Amity Irwin
Theses
Datamining without an age filter proves challenging, especially when searching for direct data from human infants. Although online databases provide immune interaction networks, they often lack information about the age of data sources, resulting in categorizations as age-unspecified. This limitation underrepresents the physiology of naïve immune systems in infants, particularly since full-term infant immunity transitions to an adult-like phenotype between 24 and 30 months of age. This study aims to reconstruct an age-specific immune interaction network for full-term infants by integrating literature-based evidence with existing online database content. A list of 60 extracellular protein candidates involved in immune responses was …
Developing Meld-Accelerated Molecular Dynamics Protocols To Simulate The Binding Of The P53-Derived Ligand To The Mdm-2, X Protein, Maria Ciko
Theses
In this study, we focus on developing computational methods to predict protein-ligand binding affinities, with applications in peptide drug discovery. Molecular Dynamics (MD) simulations can capture the complex conformational behavior of proteins, but their high computational cost limits their efficiency. MELD, or Modeling Employing Limited Data, is a Bayesian approach that integrates external information to accelerate sampling of low- energy, high-probability conformations. Building on previous work by Morrone et al., which successfully applied MELD to P53-MDM2 complexes, we hypothesize that we can effectively compute the relative binding affinities while reducing steric clashes and mitigating the effect of slowed diffusion on …