User emotion recognition from a larger pool of social network data using active learning
Alhamid, Ghulam Muhammad, Mohammed F . 2016
The use of social networks has grown exponentially in recent years. The large
amount of data available in these networks can be effectively utilized in many machine
learning applications. This paper proposes a framework of an emotion recognition system
that fetches huge amount of face images from the social networks into a cloud. In the cloud,
the problem of the unlabeled facial images is handled by applying an active learning
approach. For the feature extraction, an interlaced derivative pattern is used, while for a ...
The Internet of Medical Things (IoMT) is an essential paradigm for ubiquitous monitoring in healthcare environments. The IoMT system collects data (e.g.
One of the serious security breaches that threatens today's smart technologies is the broadcasting of false alarms. These alarms may severely affect road management systems. Vehicular networks…
Although ElectroEncephaloGram (EEG) signals allow subjects suffering from neuromuscular disorders to interface their brains with the cyber-physical world, occupational therapy can be enhanced with…