كتاب
Deep Learning-Based Method for Detecting Cassini-Huygens Spacecraft Trajectory Modifications
العنوان: | Deep Learning-Based Method for Detecting Cassini-Huygens Spacecraft Trajectory Modifications |
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المؤلفون: | Aldabbas, Ashraf Khaled Abd Elkareem, Gál, Zoltán |
سنة النشر: | 2021 |
المجموعة: | University of Debrecen Electronic Archive (DEA) / Debreceni Egyetem elektronikus Archívum |
مصطلحات موضوعية: | Műszaki tudományok, Informatikai tudományok |
الوصف: | LB |
نوع الوثيقة: | book part |
وصف الملف: | application/pdf |
اللغة: | English |
العلاقة: | Proceedings of the 1st Conference on Information Technology and Data Science / eds. István Fazekas, András Hajdu, Tibor Tómács. -Debrecen : CEUR, 2021. -p. 19-31. -(CEUR Workshop Proceedings, ISSN 1613-0073; 2874); http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM095824Test; 85107901573; http://hdl.handle.net/2437/320839Test; http://ceur-ws.org/Vol-2874Test/ |
الإتاحة: | http://hdl.handle.net/2437/320839Test http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM095824Test http://ceur-ws.org/Vol-2874Test/ |
حقوق: | open access journal |
رقم الانضمام: | edsbas.87FBCE94 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |