The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...
Background: Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viru...
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
In this paper, we present a series of distributed algorithms for coverage verification in sensor networks with no location information. We demonstrate how, in the absence of locali...