Repo Dosen ULM
Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (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 | 2023-04-13T04:03:50Z | |
| dc.date.available | 2023-04-13T04:03:50Z | |
| dc.date.issued | 2022-09-27 | |
| dc.identifier.citation | Yuslena Sari, Yudi Firmana Arifin, Novitasari Novitasari, Mohammad Reza Faisal (2022). Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (Similarity Test). Eastern-European Journal of Enterprise Technologies, 2022, 5(2-119), pp. 42–54 | en_US |
| dc.identifier.issn | 1729-3774 | |
| dc.identifier.uri | https://repo-dosen.ulm.ac.id//handle/123456789/28355 | |
| dc.language.iso | en | en_US |
| dc.publisher | Eastern-European Journal of Enterprise Technologies, 2022, 5(2-119), pp. 42–54 | en_US |
| dc.subject | Similarity Test, Deep Learning, Vegetasi Density | en_US |
| dc.title | Implementation of Deep learning Based Sematic Segmentation Method to Determine Vegetation Density (Similarity Test) | en_US |
| dc.type | Other | en_US |
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Turnitin / Peer Review / Koran / Hak Cipta / Hak Paten / Penelitian / Pengabdian [17427]
Repositori untuk bidang Turnitin / Peer Review / Koran / Hak Cipta / Hak Paten / Penelitian / Pengabdian