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...
In this paper, we present a new approach for automatic synthesis of fault detection modules for autonomous mobile robots. The method relies on the fact that hardware faults typica...
Anders Lyhne Christensen, Rehan O'Grady, Mauro Bir...
A new approach to musical onset detection by detecting the significant change of joint energy and phase features is proposed in this work. We modify the phase deviation method in...
We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns...
— This paper proposes how to detect water level from a video signal for use of automatic river surveillance. The water level is recognized as a boundary line between the land reg...