Classifying near-threshold enhancement using deep neural network
- DOI
- 10.48550/arxiv.2106.03453
- Published
- 2021
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2106.03453,
title = {Classifying near-threshold enhancement using deep neural network},
author = {Sombillo, Denny Lane B. and Ikeda, Yoichi and Sato, Toru and Hosaka, Atsushi},
year = {2021},
doi = {10.48550/arxiv.2106.03453},
url = {https://doi.org/10.48550/arxiv.2106.03453}
}RIS
TY - JOUR TI - Classifying near-threshold enhancement using deep neural network AU - Sombillo, Denny Lane B. AU - Ikeda, Yoichi AU - Sato, Toru AU - Hosaka, Atsushi PY - 2021 DO - 10.48550/arxiv.2106.03453 UR - https://doi.org/10.48550/arxiv.2106.03453 ER -
APA
B., S. D. L., Yoichi, I., Toru, S., & Atsushi, H. (2021). Classifying near-threshold enhancement using deep neural network. https://doi.org/10.48550/arxiv.2106.03453
Source records
- datacite · retrieved 2026-09-26T18:50:42.881Z