Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions

Kleomenis Katevas, Ilias Leontiadis, Martin Pielot +1

We present a practical approach for processing mobile sensor time series data for continual deep learning predictions. The approach comprises data cleaning, normalization, capping,…