Search Results for author:
Found 3 papers, 1 papers with code
Machine Learning-Based Protection and Fault Identification of 100% Inverter-Based Microgrids
100% inverter-based renewable units are becoming more prevalent, introducing new challenges in the protection of microgrids that incorporate these resources.
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
The results show that the proposed model is promising to achieve personalized longitudinal MS assessment; they also suggest that features related to gait and balance as well as upper extremity function, remotely collected from sensor-based assessments, may be useful digital markers for predicting MS over time.
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
The emergence of digital technologies such as smartphones in healthcare applications have demonstrated the possibility of developing rich, continuous, and objective measures of multiple sclerosis (MS) disability that can be administered remotely and out-of-clinic.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
