Conference
Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting
| العنوان: | Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting |
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| المؤلفون: | Hussien, Mostafa, Shoaib, Mohamed, Wu, Di, Nguyen, Kim Khoa, Cheriet, Mohamed |
| المصدر: | ICC 2024 - IEEE International Conference on Communications ; page 5135-5140 |
| بيانات النشر: | IEEE |
| سنة النشر: | 2024 |
| نوع الوثيقة: | conference object |
| اللغة: | unknown |
| DOI: | 10.1109/icc51166.2024.10622477 |
| الاتاحة: | http://dx.doi.org/10.1109/icc51166.2024.10622477 http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622477.pdf?arnumber=10622477 |
| Rights: | https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037 |
| رقم الانضمام: | edsbas.D1514FB0 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/icc51166.2024.10622477 |
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