Densely Connected dan Residual Convolutional Neural Network Untuk Estimasi Jumlah Keluarga Tingkat Desa Dengan Citra Satelit
- DOI
- 10.31598/sintechjournal.v5i2.1191
- Published
- 2022-10-28
- Container
- SINTECH (Science and Information Technology) Journal
- Publisher
- Institut Bisnis dan Teknologi Indonesia
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31598/sintechjournal.v5i2.1191,
title = {Densely Connected dan Residual Convolutional Neural Network Untuk Estimasi Jumlah Keluarga Tingkat Desa Dengan Citra Satelit},
author = {Jodi jhouranda Siregar and Anang Kurnia and Kusman Sadik},
year = {2022},
journal = {SINTECH (Science and Information Technology) Journal},
doi = {10.31598/sintechjournal.v5i2.1191},
url = {https://doi.org/10.31598/sintechjournal.v5i2.1191}
}RIS
TY - JOUR TI - Densely Connected dan Residual Convolutional Neural Network Untuk Estimasi Jumlah Keluarga Tingkat Desa Dengan Citra Satelit AU - Jodi jhouranda Siregar AU - Anang Kurnia AU - Kusman Sadik PY - 2022 JO - SINTECH (Science and Information Technology) Journal DO - 10.31598/sintechjournal.v5i2.1191 UR - https://doi.org/10.31598/sintechjournal.v5i2.1191 ER -
APA
Siregar, J. J., Kurnia, A., & Sadik, K. (2022). Densely Connected dan Residual Convolutional Neural Network Untuk Estimasi Jumlah Keluarga Tingkat Desa Dengan Citra Satelit. SINTECH (Science and Information Technology) Journal. https://doi.org/10.31598/sintechjournal.v5i2.1191
Source records
- crossref · retrieved 2026-09-26T06:43:44.231Z