Deep-HR
This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart […]
A Correlation-Driven Mapping For Deep Learning application in detecting artifacts within the EEG
Objective: When developing approaches for automatic preprocessing of electroencephalogram (EEG) signals in non-isolated demanding environment such as intensive care unit (ICU) or […]
Wireless Traffic Usage Forecasting Using Real Enterprise Network Data
Wireless traffic usage forecasting methods can help to facilitate proactive resource allocation solutions in cloud managed wireless networks. In this paper, we […]