Repo Dosen ULM
Deep Learning Approach Using the GRU-LSTM Hybrid Model for Air Temperature Prediction on Daily Basis (Similarity Test)
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| dc.contributor.author | Sari, Yuslena | |
| dc.contributor.author | Arifin, Yudi Firmanul | |
| dc.contributor.author | Novitasari, Novitasari | |
| dc.contributor.author | Faisal, Mohammad Reza | |
| dc.date.accessioned | 2023-04-13T04:03:37Z | |
| dc.date.available | 2023-04-13T04:03:37Z | |
| dc.date.issued | 2022-09-29 | |
| dc.identifier.citation | Yuslena Sari, Yudi Firmanul Arifin, Novitasari Novitasari, Mohammad Reza Faisal (2022). Deep Learning Approach Using the GRU-LSTM Hybrid Model for Air Temperature Prediction on Daily Basis (Similarity Test).International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING | en_US |
| dc.identifier.uri | https://repo-dosen.ulm.ac.id//handle/123456789/28354 | |
| dc.language.iso | other | en_US |
| dc.publisher | International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING | en_US |
| dc.subject | Similarity Test, the GRU-LSTM Hybrid Model, Air Temperature | en_US |
| dc.title | Deep Learning Approach Using the GRU-LSTM Hybrid Model for Air Temperature Prediction on Daily Basis (Similarity Test) | en_US |
| dc.type | Other | en_US |
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