Quang Hiep Vu

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Animal plays an important role in our Earth, researching the movements of animals is very helpful for us to conserve rare and precious species as well as food exploration. In this paper, we employ Wireless Sensor Networks (WSNs) with the potential for highly increased spatial and temporal resolution of measurement data. Hence WSNs promise enhanced tracking(More)
We propose a context recognizing incremental adaptive network to classify user contexts. The preferred approach is to evaluate the previous insertion by the observation of the error. Because each insertion influences the local behavior, the observed error should also be a local measurement and not the average error on the task. Such an insertion-evaluation(More)
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