A Multi-Task Learning for Submarine Cable Magnetic Anomaly Recognition
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DOI: 10.3390/jmse11050900
Abstract: The recognition of submarine cable magnetic anomaly (SCMA) signals is a challenging task in magnetic signal data processing. In this study, a multi-task convolutional neural network (MTCNN) model is proposed to simultaneously recognize abnormal signals… read more here.
Keywords: cable magnetic; magnetic anomaly; submarine cable;