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Abstract: Deep Learning Models for Automated Identification of Non-Thermal Electromagnetic Radiation (NTEM) Signals in Archival Radio Telescope Data (AGU25)

Deep Learning Models for Automated Identification of Non-Thermal Electromagnetic Radiation (NTEM) Signals in Archival Radio Telescope Data

Tsige Atilaw1,2, Mojtaba Akhavan-Tafti1, Nilton O. Renno3, Yun Zhang3 and Yang Chen4, (1)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, Michigan Institute for Data and AI in Society, Ann Arbor, United States, (3)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, United States, (4)University of Michigan, Department of Statistics, Ann Arbor, United States
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