@InProceedings{BotelhoFerr:2012:MaMoPr,
               author = "Botelho, Primavera and Ferreira, Maur{\'{\i}}cio 
                         Gon{\c{c}}alves Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A mathematical model to predict operating states of satellites",
            booktitle = "Proceedings...",
                 year = "2012",
         organization = "International Conference on Space Operations, 12. (SpaceOps).",
             keywords = "mathematical model, artificial intelligence, satellites.",
             abstract = "The increased on demand from orbiting satellites in operation 
                         according to the National Institute for Space Researchs satellite 
                         program has motivated continuous improvement safety in the 
                         planning of routine operations in order to ensure the integrity of 
                         satellites in orbit. Therefore, we propose a mathematical model 
                         based on artificial intelligence concepts, which uses algorithms 
                         developed for machine learning in the analysis of operational data 
                         to predict future states of satellites. The application developed 
                         from this data mining predictive model is also presented as an 
                         alternative to expensive simulators to perform prediction of 
                         satellites operating conditions, reducing costs of control 
                         activities of the satellites in orbit.",
  conference-location = "Estocolmo",
      conference-year = "2012",
                label = "lattes: 1304704585952173 2 BotelhoFerr:2012:MaMoPr",
             language = "en",
           targetfile = "id1272995-Paper-002.pdf",
                  url = "http://www.spaceops2012.org",
        urlaccessdate = "30 abr. 2024"
}