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This paper suggests evolving Takagi-Sugeno-Kang (T-S-K) fuzzy models that characterize the nonlinear dynamics phenomena occurring in the longitudinal slip of Anti-lock Braking Systems (ABSs). The rule bases and the parameters of the T-S-K fuzzy models are evolved by an incremental online identification algorithm (IOIA). A set of real-time experiments is conducted in order to validate the evolving...
In the last years the volume of data that was generated by the mankind has increased and the complexity of data generated has also increased. Since the computers have evolved and provide more processing power, it is possible to carry out the real-time analysis of big volumes of data. This paper suggests the architecture of a big data processing platform called BigTim, which is able to run clustering...
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