@inproceedings{gentil2017deep,
author={M. Gentil and A. Galeazzi and F. Chiariotti and M. Polese and A. Zanella and M. Zorzi}, 
booktitle={IEEE Global Communications Conference (GLOBECOM)}, 
title={A Deep Neural Network Approach for Customized Prediction of Mobile Devices Discharging Time}, 
year={2017}, 
volume={}, 
number={}, 
pages={1-6}, 
address={Singapore},
keywords={battery management systems;learning (artificial intelligence);neural nets;power aware computing;secondary cells;smart phones;Android operating system;battery discharging process;battery management algorithms;battery usage pattern;customized prediction;deep neural network approach;deep neural network model;device operating system;energy-efficiency optimization mechanisms;machine-learning methods;mobile device discharging time;smartphones;space-time data;tablets;Batteries;Discharges (electric);Mobile communication;Neural networks;Predictive models;Smart phones}, 
doi={10.1109/GLOCOM.2017.8254532}, 
ISSN={}, 
month={Dec},}