The cost of damage caused by flooding is directly related to the warning-time given before a flood occurs. Therefore, improving the coverage, accuracy and reliability of flood pre...
Danny Hughes, Phil Greenwood, Geoff Coulson, Gordo...
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...
Abstract—Tiny, wireless, sensors embedded in a large number of Internet-capable devices–smart phones, cameras, cars, toys, medical instruments, home appliances and energy meter...
We develop a network of distributed mobile sensor systems as a solution to the emergency response problem. The mobile sensors are inside a building and they form a connected ad-ho...
George Kantor, Sanjiv Singh, Ronald A. Peterson, D...
We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time t...