ПОРІВНЯЛЬНИЙ АНАЛІЗ МОДЕЛЕЙ ГЛИБОКИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ ДІАГНОЗУ COVID-19
- DOI
- 10.20535/kpisn.2021.3.251462
- Published
- December
- Container
- KPI Science News
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.20535/kpisn.2021.3.251462,
title = {ПОРІВНЯЛЬНИЙ АНАЛІЗ МОДЕЛЕЙ ГЛИБОКИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ ДІАГНОЗУ COVID-19},
author = {Nadezhda I. Nedashkovskaya and Oleksandr O. Sapelnikov},
year = {2021},
journal = {KPI Science News},
doi = {10.20535/kpisn.2021.3.251462},
url = {https://doi.org/10.20535/kpisn.2021.3.251462}
}RIS
TY - JOUR TI - ПОРІВНЯЛЬНИЙ АНАЛІЗ МОДЕЛЕЙ ГЛИБОКИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ ДІАГНОЗУ COVID-19 AU - Nadezhda I. Nedashkovskaya AU - Oleksandr O. Sapelnikov PY - 2021 JO - KPI Science News DO - 10.20535/kpisn.2021.3.251462 UR - https://doi.org/10.20535/kpisn.2021.3.251462 ER -
APA
Nedashkovskaya, N. I., & Sapelnikov, O. O. (2021). ПОРІВНЯЛЬНИЙ АНАЛІЗ МОДЕЛЕЙ ГЛИБОКИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ ДІАГНОЗУ COVID-19. KPI Science News. https://doi.org/10.20535/kpisn.2021.3.251462
Source records
- doaj · retrieved 2026-09-25T18:53:26.535Z