Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 54 for “"Existing datasets"”.
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Developmental patterns of Spanish grammatical morphemes and mean length of utterance in bilingual children
… study uses secondary data analysis based on two existing datasets. Participants included 334 Spanish-English bilingual children that were recruited from school districts in Texas, Utah, and Pennsylvania. Grammatical morpheme accuracy was determined by performance on the BESA (Bilingual English …
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Computational methods for high-throughput pooled genetic experiments
… locations. The methods are applied to new and existing datasets and improve on the resolution of published methods, frequently obtaining single-gene accuracy.
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Design and development of an LLM-based framework for synthetic data generation
The increasing demand for high-quality datasets in fields such as healthcare, finance, and cybersecurity is hindered by challenges such as data scarcity, privacy concerns, and regulatory restrictions. This thesis introduces a novel framework for generating synthetic data using fine-tuned Large …
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Textual entailment from image caption denotations
… knowledge missing from other NLP tasks, on both existing datasets and our own new dataset. We also present a novel embedding model that produces phrase representations that are informed by our grounded representation. We conclude with an analysis of how grounded embeddings differ from standard …
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Automated Learning of Event Coding Dictionaries for Novel Domains with an Application to Cyberspace
… COPDAB to KEDS, GDELT, ICEWS, and PHOENIX, event datasets and the frameworks that produce them have supported a variety of research efforts across fields and including political science. While these datasets are machine-coded from vast amounts of raw text input, they nonetheless require …
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Specialization of Vision Representations with Personalized Synthetic Data
… this challenge, including reformulations of two existing datasets and a novel dataset explicitly constructed for this purpose, and propose a contrastive learning approach that makes creative use of image generators. We show that our method improves personalized representation learning for diverse …
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
… approach enabling Sobol' index estimation from existing datasets, eliminating new experiment requirements. This extends into a comprehensive metamodeling framework supporting state-of-the-art estimators using available data. Finally, we introduce generalized Sobol' indices for quantifying global …
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Hydrocarbon biomarkers for biotic and environmental evolution through the Neoproterozoic-Cambrian transition
… also acquired and evaluated in the context of existing datasets with a focus on elucidating the processes responsible for anomalous trends. Consistent with current theory, our results indicate that there was a significant shift in the redox state the oceans and that this took place on a global …
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Development and analysis of a small-scale controlled dataset with various weather conditions, lighting, and route types for autonomous driving
This study addresses the limitations of existing autonomous vehicle datasets, particularly the need for greater specificity of weather conditions and road types. We utilized X-CAR to highlight the challenges of extreme weather and non-urban road conditions on autonomous driving systems. Our dataset …
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Vascular contributors to cognitive impairment and dementia: insights from existing data
… attrition. One promising solution is the use of existing data sources from cohort studies, clinical trial datasets, and routinely collected health records, which provide a cost-effective and efficient means of studying vascular contributions to cognitive dysfunction. In this thesis, I demonstrate …
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Estimation of methane and carbon dioxide surface fluxes using a 3-D global atmospheric chemical transport model
… reference emissions field from pre-existing datasets of individual methane processes. For our forward simulations, we use the 3-D global chemical transport model MATCH driven by NCEP meteorology. A prescribed, annually-repeating OH field scaled to fit methyl chloroform observations …
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A Machine Learning Model for Understanding How Users Value Designs: Applications for Designers and Consumers
… decisions, as well as for commercial strategy. Existing ML systems have been trained on the physical and aesthetic features of completed furniture designs. We consider these methods to be “top-down” because designers and software engineers alone determine which features are considered important …
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Echoes of Trauma: The Relationship Between Poly-Victimization in Childhood and Health Outcomes
… that secondary data analysis allowed leveraging existing datasets, potentially saving time, effort, and resources that would otherwise have been dedicated to primary data collection. This study demonstrated a significant positive association between poly-victimization and sleep disturbances—with …
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Evaluating Sources of Arsenic in Groundwater in Virginia using a Logistic Regression Model
… constructed a logistic regression model, using existing datasets of environmental parameters to predict the probability of As concentrations above 5 parts per billion (ppb) in Virginia groundwater and to evaluate if geologic or other characteristics are linked to elevated As concentrations. …
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The United States Supreme Court's Volitional Agendas, 1801-1993: Historical Claims versus Empirical Findings
… analysis. Data for my research came from existing datasets and from my own collection (I coded the manifest content of thousands of Supreme Court's decisions from 1887 back to 1801). The most important finding from my analyses is that McCloskey not withstanding, the pre-Civil War Supreme …
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Using multibeam sonar to monitor animal behaviour and environmental interactions at marine renewable energy sites
… of evaluating animal behaviour through existing datasets recorded by low-resolution / low frequency multibeam instruments. Additionally, the accuracy of measurements for the detection and shape resolving capabilities of a new generation of multibeam (720/1200 kHz) are being investigated. …
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A study of the use of linked routinely collected administrative data at the local level to count and profile populations
… for accurate and detailed analyses. Utilising existing datasets in this way reduces costs and adds value. The need and the evolution of this innovative methodology are set out, and the success and impact it has had are discussed, including how it has helped shape thinking on statistics in the …
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Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking
… While the increase in instruments, and therefore datasets, is a boon for those aiming to study the complexities of the various Earth systems, it can also present a large number of new challenges. With this information in mind, our group has set our aims on combining datasets with different spatial …
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Task Relationships and Training Induced Transfer
… analysis pipeline applied to a composite of pre-existing datasets, to explore training outcomes across four popular tasks. Specifically, I used two unsupervised machine learning algorithms to identify multivariate task profiles and sub-groups; I then used these to ask whether, and how, task …
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Modeling the dynamics of nonverbal behavior on interpersonal trust for human-robot interactions
… in social interactions. We begin by leverage pre-existing datasets to understand the relationship between synchronous movement, mimicry, and gestural cues with trust. We found that although synchronous movement was not predictive of trust, synchronous movement is positively correlated with …
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