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CNN vs. SVM for Automatic Train Moving Recognition by Optical Fiber Sensing Data Analysis

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Abstract

This paper introduces a comparison study between SVM and a convolutional neural network for automatic train moving recognition by exploiting distributed acoustic sensing data. The results show the performance of each of the two methods for such a goal.

© 2021 The Author(s)

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