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An Extended Noise-Aware Framework for Detecting Magnetic Polarity Inversion Lines (MPILs)

khani, ziba

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Ziba Khani*, Anli Ji*, Manolis Georgoulis**,and Berkay Aydin* * - Department of Computer Science, Georgia State University, Atlanta, GA, United States ** - Applied Physics Lab, Johns Hopkins University, Baltimore, MD, United States An Extended Noise-Aware Framework for Detecting Magnetic Polarity Inversion Lines (MPILs)