A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
Abstract: This study explores the application of Dynamic Bayesian Networks (DBNs) for modeling and forecasting the relationship between education financing and macroeconomic indicators, particularly ...
Objectives To examine outcomes from respiratory pathogens containment strategies focused on international travellers. Design We developed a compartmental model generalisable to respiratory infectious ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results