دورية أكاديمية
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling
العنوان: | Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling |
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المؤلفون: | Ishida, Kei, Kiyama, Masato, Nagasato, Takeyoshi, Ercan, Ali, Amagasaki, Motoki |
سنة النشر: | 2024 |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
العلاقة: | 8ada504c-4df6-475b-8132-ebb61d4c4516; https://avesis.metu.edu.tr/publication/details/8ada504c-4df6-475b-8132-ebb61d4c4516/oaiTest |
DOI: | 10.1016/j.jenvman.2024.120931 |
الإتاحة: | https://doi.org/10.1016/j.jenvman.2024.120931Test https://avesis.metu.edu.tr/publication/details/8ada504c-4df6-475b-8132-ebb61d4c4516/oaiTest |
حقوق: | info:eu-repo/semantics/closedAccess |
رقم الانضمام: | edsbas.83CDEE4B |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.jenvman.2024.120931 |
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