Repo Dosen ULM
Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (Corresponding Autor)
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| dc.contributor.author | Sari, Yuslena | |
| dc.date.accessioned | 2023-04-28T11:31:14Z | |
| dc.date.available | 2023-04-28T11:31:14Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Yuslena Sari (2022). Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (Corresponding Autor) | en_US |
| dc.identifier.uri | https://repo-dosen.ulm.ac.id//handle/123456789/29956 | |
| dc.language.iso | en | en_US |
| dc.subject | Corresponding Autor, deep learning | en_US |
| dc.title | Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (Corresponding Autor) | en_US |
| dc.type | Other | en_US |
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Turnitin / Peer Review / Koran / Hak Cipta / Hak Paten / Penelitian / Pengabdian [16724]
Repositori untuk bidang Turnitin / Peer Review / Koran / Hak Cipta / Hak Paten / Penelitian / Pengabdian