Abstract: This work proposes a probabilistic feature estimation-based feature selection method for intrusion detection systems. The method aims to reduce the number of insignificant features from the ...
Abstract: Accurate crack distance estimation is critical for railway safety and structural health monitoring. This paper proposes a Skip-Feedback Neural Network (SFNN) for single-sensor acoustic ...
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