[HTML][HTML] Machine learning in orbit estimation: A survey
Since the late 1950s, when the first artificial satellite was launched, the number of Resident
Space Objects has steadily increased. It is estimated that around one million objects larger …
Space Objects has steadily increased. It is estimated that around one million objects larger …
Probabilistic solar proxy forecasting with neural network ensembles
JD Daniell, PM Mehta - Space Weather, 2023 - Wiley Online Library
Abstract Space weather indices are used commonly to drive forecasts of thermosphere
density, which affects objects in low‐Earth orbit (LEO) through atmospheric drag. One …
density, which affects objects in low‐Earth orbit (LEO) through atmospheric drag. One …
Probabilistic short‐term solar driver forecasting with neural network ensembles
JD Daniell, PM Mehta - Space Weather, 2024 - Wiley Online Library
Abstract Space weather indices are used to drive forecasts of thermosphere density, which
directly affects objects in low‐Earth orbit (LEO) through atmospheric drag force. A set of …
directly affects objects in low‐Earth orbit (LEO) through atmospheric drag force. A set of …
[PDF][PDF] Avaliação da Capacidade de Generalização de Arquiteturas de Aprendizado Profundo para Previsão de Séries Temporais Meteorológicas
AHR dos Santos, MHDM Ribeiro, RZ Freire - sba.org.br
The objective of climate forecasting, through time series, is to provide the most accurate
results possible to assist in determining future atmospheric states. In the context of time …
results possible to assist in determining future atmospheric states. In the context of time …