CNN vs. SVM for Automatic Train Moving Recognition by Optical Fiber Sensing Data Analysis (JW2A.4)
Presenter: Abdelkader Hamadi, SNCF
This paper introduces a comparison study between SVM and a deep learner 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.
Authors:Abdelkader Hamadi, SNCF / Ali Kabalan, SNCF / Gabriel Papaiz Garbini, SNCF / Tarik Hammi, SNCF