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Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing
With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people especially the students who are of relative weak physique is becoming a key research issue of significant values. Specifically, precise recognition of the anomaly in student health conditions is beneficial to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444123/ https://www.ncbi.nlm.nih.gov/pubmed/36093280 http://dx.doi.org/10.1186/s13677-022-00300-x |