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 23 for “"Gender Classification"”.
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An Extended Local Binary Pattern for Gender Classification
… of humans, conveying race, identity, age, gender and facial expression information, among which gender plays a significant role in social interactions. An automatic gender recognition system has many applications in computer-human interaction, psychology, security, demographic and business …
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P-12 preservice teachers' awareness on cyberbullying
… test surveys based on the preservice teachers gender, classification, and year in program. Also, results were classified by subscales (beliefs, concerns, confidence levels, and preparations) based on the survey questions. No multivariate significance was discovered for between subjects main …
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Gait analysis for classification
… for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of …
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Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning
… energy resources effectively. In this work, gender and weight of walkers are classified via machine learning or pattern recognition techniques. Accelerometers mounted beneath the floor of Virginia Tech's Goodwin Hall measured walkers' gait. These acceleration measurements serve as the inputs …
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Gender shades : intersectional phenotypic and demographic evaluation of face datasets and gender classifiers
This thesis (1) characterizes the gender and skin type distribution of IJB-A, a government facial recognition benchmark, and Adience, a gender classification benchmark, (2) outlines an approach for capturing images with more diverse skin types which is then applied to develop the Pilot Parliaments …
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Predicting COVID-19 Compliance Behaviors in College Students Using the Health Belief Model
… was the strongest predictor of compliance. Gender, classification, and institution type were also significant predictors of compliance.
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Current and Preferred Academic Advising Styles of African American Students in the College of Engineering at Virginia Tech
… examined the comparisons between race, gender, classification, grade point average (GPA), and major. The instrument that was administered via the Internet is called the Academic Advising Inventory (Winston & Sander, 1984). This four-part instrument measures the level of the developmental …
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The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets
… most frequently studied characteristic is the gender of a user. Feature frequency is often included in such a task, but this thesis shows that for Twitter tweets it either does not contribute significantly to gender classification or hinders classification.
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Unveiling data quality dynamics in online retail: An exploration of product attributes
… attribute data such as size, colour, style, and gender classification within an online retail environment, where inaccurate or incomplete attributes can disrupt decision-making, inventory management, and customer experience. The research aims to (1) identify relevant data quality dimensions for …
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Betwixt and Between: Liminal Spaces and the Disabled Body in Burke’s Sublime and Beautiful, Burney’s Camilla, and Dacre’s Zofloya
… masculine power structures and aesthetic and gender classification systems.
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Detecting user demographics in twitter to inform health trends in social media
… method for extracting a social media user's gender by exploring and exploiting a comprehensive set of a user's behaviors on Twitter, including the user's conversational topic choices, account profile information, and personal information. In addition, this work explores the usage of synonym …
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Health knowledge levels, behaviors, and perceived needs of 1992 North Texas high school graduates
… relationship to school district size attended, gender, and ethnicity. Additionally, an attempt was made to determine if the health needs of the graduates were consistent with the Texas Essential Elements. Descriptive statistics were used to answer research questions. Hypotheses testing was …
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Equity and Inclusion for Gender Diverse Middle School Students
… a group without a voice because the dominant gender classification was a binary male or female model. They have seldom dared to express and identify their real selves. According to Lewis (2020), this form of oppression could make them feel unwelcome, overlooked, and unsafe, eventually creating …
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems
… terms of generalisation accuracy is on the Voice Gender classification with 43.33% improvement for 60:40 data division. While H-DFP, the highest improvement achieved in generalisation accuracy is on the Seeds classification with 41.73% improvement for 70:30 data division. Thus, the proposed …
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Description is a drag (and vice versa): classifying trans identities
… in adequate terminology for works about transgender, gender-nonconforming, and non-binary identities; my research builds on a long tradition of cataloging and classification from a social justice perspective. This work uses a mixed methods approach as a way to interrogate how LGBTQ identities, …
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An analysis of selected factors influencing evangelical college students' intensity of involvement in local churches
… in local churches, the exceptions being gender, classification in school, college opportunities for ministry, and housing situation. The strongest positive correlations existed between intensity of involvement and opportunity for student leadership, the student's perception that the local …
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Exposing and correcting the gender bias in image captioning datasets and models
The task of image captioning implicitly involves gender identification. However, due to the gender bias in data, gender identification by an image captioning model suffers. Also, due to the word-by-word prediction, the gender-activity bias in the data tends to influence the other words in the …
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Wages, employment, and technological change in English cotton spinning, c.1780-1850
… and the incentives behind mechanisation; 2. The gender division of labour by spinning technology type; and, 3. The gender wage gap in cotton spinning controlling for technology type. The literature on these debates has either been based on no evidence at all, on isolated evidence from partial …
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Human Attention in Virtual Reality Applications: Exploration of VR Artwork
… and their background characteristics. Notably, gender differences are observed in head and eye movements, prompting the development of a gender classification model for customising services and investigating potential biases in VR-related technologies and application design.<br/>Deep learning …
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