Previsões
ID
Idioma
Nome do modelo
Repositório
Descrição
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2800308 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2800308 como input
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 3304557 entre 2022-01-01 e 2023-01-01 usando os dados de todos as cidades clusterizadas com 3304557 como input
LSTM model for Infodengue Sprint
Predictions for 2024 in AP using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in TO using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in GO using the att architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in AM using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in MT using the att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in MS using the att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in TO using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in AM using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in PA using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in AC using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in RJ using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in SP using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in PR using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in SC using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state SE.
LSTM model for Infodengue Sprint
Predictions for 2024 in RN using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in SE using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in CE using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in BA using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state RN.
LSTM model for Infodengue Sprint
Predictions for 2024 in MA using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in PI using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state MA.
LSTM model for Infodengue Sprint
Predictions for 2024 in SP using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state CE.
LSTM model for Infodengue Sprint
Predictions for 2024 in SC using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in RS using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in RN using the baseline architecture
700 previsões
https://api.mosqlimate.org/api/registry/predictions/?page=9&per_page=30&
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