Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
metadata only
Analisis Performa Metode YOLOv5-CNN Dalam Meningkatkan Deteksi Dan Pengenalan Ras Kelinci
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Analisis Performa Metode YOLOv5-CNN Dalam Meningkatkan Deteksi Dan Pengenalan Ras Kelinci#194850
- Analisis Faktor-Faktor Pengelolaan Keuangan Daerah Pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Manggarai Tahun 2019-2023#452241
- Large Perspective Picture of the Kaomise Performance on the Kabuki Stage (Shibai kyogen butai kaomise o uki-e)#667722
- Sistem Monitoring Detak Jantung Menggunakan Pulse Heart Rate Sensor dan Nodemcu#1066982
- Nuori tutkija asiantuntijana -kirjoitusaineisto 2018#445426
Record · ID 194649
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive