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Categorical description of leaf shapes is of paramount importance in agriculture and plant sciences. Traditionally, these descriptions have been based on categorical systems proposed by domain experts. Despite the importance of these visual descriptive systems, these approaches may be limited by the representation of unknown shapes as expected in exploratory domains. In this work, we propose a novel...
There are well-known attack techniques that threaten current apps stores. However, the complexity of these environments and their high rate of variability have prevented any effective analysis aimed at mitigating the effects of these threats. In this paper, the analysis performed over one of these techniques, Shuabang, is introduced. The completion of this analysis has been supported by a new tool...
Summary form only given. A new method for predicting the rotor angle stability status of a power system immediately after a large disturbance is presented. The proposed two stage method involves estimation of the similarity of post-fault voltage trajectories of the generator buses after the disturbance to some pre-identified templates and then prediction of the stability status using a classifier...
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