With a four-year, $2.7M NIH grant, Hopkins researchers are developing an AI-powered imaging system that can capture brain activity 20 to 50 times faster than current tools ...
Abstract: We investigate combined, personalised biomechanical dynamics models and human surface models to synthesise IMU sensor time series data and to improve Human Activity Recognition (HAR) model ...
The system is built upon four foundational pillars: Autonomous Safety: Utilizing MQ-series gas sensors and flame detectors to provide real-time protection against fire and gas leaks through automated ...
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