Works by Rocha, Jonas Elias Castro da
Results: 5
Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones.
- Published in:
- Forests (19994907), 2019, v. 10, n. 3, p. 268, doi. 10.3390/f10030268
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- Article
Prevalence of the Human Immunodeficiency Virus and associated factors in pregnant women in the state of Pará.
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- Revista Brasileira de Enfermagem, 2022, v. 75, n. 6, p. 1, doi. 10.1590/0034-7167-2021-0171
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- Article
Artificial neural networks for short-term forecasting of cases, deaths, and hospital beds occupancy in the COVID-19 pandemic at the Brazilian Amazon.
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- PLoS ONE, 2021, v. 16, n. 3, p. 1, doi. 10.1371/journal.pone.0248161
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- Article
Eucalyptus spp. volume determined through geospatial interpolation.
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- Cientifica, 2019, v. 47, n. 4, p. 434, doi. 10.15361/1984-5529.2019v47n4p434-440
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- Article
Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil.
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- PLoS ONE, 2023, v. 18, n. 11, p. 1, doi. 10.1371/journal.pone.0291138
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- Article