Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks

With the widespread use of embedded sensing Creams capabilities of mobile devices, there has been unprecedented development of context-aware solutions.This allows the proliferation of various intelligent applications, such as those for remote health and lifestyle monitoring, intelligent personalized services, etc.However, activity context recogniti

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Lockdowns, lethality, and laissez-faire politics. Public discourses on political authorities in high-trust countries during the COVID-19 pandemic.

This study looks at population response to government containment Extension Cords strategies during initial stages of the COVID-19 pandemic in four high-trust Northern European countries-Denmark, Germany, the Netherlands, and Sweden-with special emphasis on expressions of governmental trust.Sentiment analysis and topic modeling analysis were perfor

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