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Gender - Springer Nature

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Last Updated: 25 September 2022

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Age, Gender, and Gesture Classification Using Open-Source Computer Vision

A facial recognition and verification device are developed in this paper to classify them on the basis of gender while still providing the most realistic age range of the concerned face and detecting the hands' gesture using convolutional neural network architecture.

Source link: https://doi.org/10.1007/978-981-19-4052-1_8


Image Content Analysis of Perceived Race and Gender on Websites of Top Accredited Engineering Schools in Canada

The study looked at the apparent gender and race presence in website photographs of selected post-secondary institutions with accredited engineering programs. Around half of the individuals featured on institutional and engineering homepages are thought of as women, while less than a quarter are classified as BIPOC. This finding shows that there is a lack of emphasis on racial inclusion in marketing materials and that there is no representation of the engineering student population's racial diversity.

Source link: https://doi.org/10.1007/978-981-19-0503-2_25


Gender Prediction Based on Arabic Names with Machine Learning Techniques

Among other machine learning fields, gender classification is a common problem, but more research has been done on gender discrimination throughout the years. In addition, this paper reviews the results of using six machine learning algorithms and deep learning framework for gender prediction on Arabic names.

Source link: https://doi.org/10.1007/978-3-031-08954-1_107


Perceived Effectiveness of Gender-Based Virtual Education in Times of COVID-19 Pandemic in University Higher Education

Many processes were digitized, one of which being education, and education was one of them. Under a quantitative, non-experimental, cross-sectional, and descriptive approach, the aim was to determine the student's involvement in the teaching - virtual learning process based on their gender. Women in technology have a higher success rate than men, and in pedagogical terms, men have a better image than women, academic pursuits, and communication are perceived in a similar way in both genders, but, ultimately, women were more affected than men than men.

Source link: https://doi.org/10.1007/978-3-031-04435-9_51


Gender (In)Equality in the Labor Market: A Case Study of the Environmental Health Professionals

We want to know the attitudes, representations, and opinions of the Environmental Health Professionals surveyed on a variety of topics relating to gender inequality in this research. The female gender has been consistently criticized for being viewed inferior to the male gender in the past. The target population includes two groups: men and women with degrees in Environmental Health, as well as those working in the field. This report helped us to identify, analyze, and assess Gender inequalities for Environmental Health Workers. Our report found that gender parity in terms of Health and Safety is so important.

Source link: https://doi.org/10.1007/978-3-031-12547-8_24


Feature Extraction Techniques for Gender Classification Based on Handwritten Text: A Critical Review

The handwritten text's characteristics play a significant part in the process of handwriting recognition. Several feature extraction techniques have emerged in the last two decades, one on the other. Ample analysis is done on writer identification schemes by using various feature extraction techniques. This survey is designed to present the critical review of research carried out in the area of feature extraction in gender identification, excluding only handwriting. We have divided all of the feature extraction methods used by the researchers for gender classification into four broad categories: statistical-, transform-, gradient-, and model-based methods.

Source link: https://doi.org/10.1007/978-981-19-0105-8_19


The Development of Gender Role Attitudes During Adolescence: Effects of Sex, Socioeconomic Background, and Cognitive Abilities

This report explores how gender role attitudes from childhood to young adulthood influence developmental transition, as well as cognitive skills and cognitive skills. Measurement invariance was investigated across generations and genders. Teenagers were seen as more egalitarian gender role attitudes in Latent growth curve studies, according to Latent growth curve estimates. Teenagers had more open and egalitarian attitudes during adolescence, and that female and male adolescents' development paths converged, according to the study.

Source link: https://doi.org/10.1007/s10964-022-01651-z


Addressing Gender Bias in STEM Graduate and Post-graduate Students Using Equity in STEM for All Genders Course

Despite continuing attempts to attain equity, implicit gender bias is consistently cited as a factor in the STEM fields' gender disparities. Although most bias initiatives are directed at instructors, scientific trainees are a key group with the potential to introduce future change. Equity in STEM for All Genders, a synchronous online course, is offered as a gender bias intervention.

Source link: https://doi.org/10.1007/s10956-022-09983-y

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions