Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Although there have been many studies aimed at the field of Human Activity Recognition, the relationship between what we do and where we do it has been little explored in this field.The objective of this paper is to propose an approach based on machine learning to address the challenge of the 1st UCAmI cup, which is the recognition of 24 activities

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Treatment completion among justice-involved youth engaged in behavioral health treatment studies in the United States: A systematic review and meta-analysis

Justice-involved youth (JIY) have high rates of behavioral health disorders, but few can access, much less complete, treatment in the community.Behavioral health treatment completion among JIY vibrating-anal is poorly understood, even within treatment studies.Measurement, reporting, and rates of treatment completion vary across studies.This systema

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