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Anomaly detection has various applications including condition monitoring and fault diagnosis. The objective is to sense the environment, learn the normal system state, and then periodically classify whether the instantaneous state deviates from the normal one or not. Wireless sensor networks provide a flexible and cost-effective way of monitoring a system state. In traditional wireless sensor networks,...
Due to the popularity of GPS-enabled Smartphones the location of mobile terminals has become widely available [1]. Aided by such location information, we propose a general model to predict the channel gain of mobile users for multiple time steps in advance. Our model exploits spatial and temporal correlation in a Bayesian framework. The framework is composed of an autoregressive process and, according...
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