{"id":2584,"date":"2021-07-08T01:39:12","date_gmt":"2021-07-07T16:39:12","guid":{"rendered":"https:\/\/c-mng.cwh.hokudai.ac.jp\/stl.eng\/Root\/?page_id=2584"},"modified":"2023-02-23T01:34:57","modified_gmt":"2023-02-22T16:34:57","slug":"machine-learning-approach","status":"publish","type":"page","link":"https:\/\/c-mng.cwh.hokudai.ac.jp\/stl.eng\/Root\/research\/machine-learning-approach.html","title":{"rendered":"Machine learning approach"},"content":{"rendered":"

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  • Y. Takahashi, M. Saito, N. Oshima, and K. Yamada, “Trajectory reconstruction for nanosatellite in very low Earth orbit using machine learning,” Acta Astronautica, vol. 194, pp. 301-308, 2022, DOI : 10.1016\/j.actaastro.2022.02.010<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

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