AIMC Topic: Schools

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The use of social robots with children and young people on the autism spectrum: A systematic review and meta-analysis.

PloS one Jun 22, 2022
BACKGROUND: Robot-mediated interventions show promise in supporting the development of children on the autism spectrum.
Schools Autistic Disorder Social Interaction Child Robotics Aged Adolescent Humans
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A Study on Mobile Resources for Language Education of Preschool Children Based on Wireless Network Technology in Artificial Intelligence Context.

Computational and mathematical methods in medicine Jun 7, 2022
Preschool language education is a requirement of basic education reform as well as a requirement for children's growth in all aspects of body and mind. It is extremely important and valuable in encouraging the entire growth of preschool education as ...
Language Learning Child, Preschool Artificial Intelligence Technology Humans Schools
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An unsupervised machine learning approach to evaluate sports facilities condition in primary school.

PloS one Apr 20, 2022
Sports facilities have been acknowledged as one of the crucial environmental factors for children's physical education, physical fitness, and participation in physical activity. Finding a solution for the effective and objective evaluation of the con...
Schools Physical Fitness Physical Education and Training Exercise Child Humans Unsupervised Machine Learning
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Image Recognition and Extraction of Students' Human Motion Features Based on Graph Neural Network.

Computational intelligence and neuroscience Mar 24, 2022
In order to improve students' overall subhealth behavior, teenagers' physical health problems have attracted more and more attention. The state clearly requires students to increase the number and frequency of exercise in school. In order to study th...
Schools Humans Motion Neural Networks, Computer Students Adolescent
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Construction of a Hybrid Teaching Model System Based on Promoting Deep Learning.

Computational intelligence and neuroscience Jan 28, 2022
The rapid development of computer network technology in today's society has also brought new opportunities for the transformation of the teaching management mode of colleges and universities. Nowadays, most colleges and universities are gradually imp...
Humans Universities Schools Teaching Students Deep Learning Technology
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Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents.

Medicina (Kaunas, Lithuania) Dec 22, 2021
: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of pre-diabetes and represents a condi...
Schools Hyperinsulinism Risk Assessment Adolescent Child Cross-Sectional Studies Artificial Intelligence Male Female Humans
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Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study.

Frontiers in public health Nov 5, 2021
What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks? Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decade...
Income United States Cross-Sectional Studies Residence Characteristics Deep Learning Schools
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Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.

PloS one Nov 3, 2021
INTRODUCTION: Addressing the problem of suicidal thoughts and behavior (STB) in adolescents requires understanding the associated risk factors. While previous research has identified individual risk and protective factors associated with many adolesc...
Cannabis Male Humans Suicide Prevention Risk Factors Forecasting Students Utah Female Young Adult Suicide, Attempted Surveys and Questionnaires Bullying Suicidal Ideation Machine Learning Internet Suicide Adolescent Schools
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Prediction of absenteeism in public schools teachers with machine learning.

Revista de saude publica Jun 14, 2021
OBJECTIVE: To predict the risk of absence from work due to morbidities of teachers working in early childhood education in the municipal public schools, using machine learning algorithms.
Humans Machine Learning Brazil Child, Preschool Cross-Sectional Studies ROC Curve Absenteeism Schools
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Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder.

Sensors (Basel, Switzerland) Apr 24, 2021
Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column studies. However, they rapidly collect huge volumes of data, which poses a challenge for water column data processing that is often still manual and ...
Schools Supervised Machine Learning Water Reproducibility of Results Animals
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