In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
We present our experience with designing, developing, and deploying of an Internet accessible wireless sensor network for monitoring temperature, humidity, and illumination of a c...
Wireless ad hoc networks of sensor nodes are envisioned to be deployed in the physical environment to monitor a wide variety of real-world phenomena. Almost any sensor network appl...
— This work presents TEMPO (Technology-Enabled Medical Precision Observation) 3.1, a third generation body area sensor platform that accurately and precisely captures, processes,...
Adam T. Barth, Mark A. Hanson, Harry C. Powell Jr....
With the current proliferation of wireless networks and mobile device technologies, the management of moving object databases to facilitate queries over these domains has been exte...