Now showing items 1-4 of 4

    • Classification of regional ionospheric disturbance based on machine learning techniques 

      Terzi, M. B.; Arikan, O.; Karatay S.; Arikan, F.; Gulyaeva T. (European Space Agency, 2016)
      In this study, Total Electron Content (TEC) estimated from GPS receivers is used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. For the automated ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton J. C. (IEEE, 2005)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton, J. C. (IEEE, 2005-03)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...
    • Piloted evaluation of a control allocation technique to recover from pilot-induced oscillations 

      Acosta, D. M.; Yildiz, Y.; Craun, R. W.; Beard, S. D.; Leonard, M. W.; Hardy, G. H.; Weinstein, M. (American Institute of Aeronautics and Astronautics Inc., 2015)
      This paper describes the maturation of a control allocation technique designed to assist pilots in recovery from pilot-induced oscillations. The control allocation technique to recover from pilot-induced oscillations is ...