Investigation of Entropy Nets Induced by Oblique Decision Trees for Target Detection in Ocean SAR. - Rafael L. Paes; Ivo Paixao de Medeiros (ICHIT (2), 2012)

Combining PHM information and system architecture to support aircraft maintenance planning. - Felipe Augusto Sviaghin Ferri; Leonardo Ramos Rodrigues; João Paulo Pordeus Gomes; Ivo Paixao de Medeiros; Roberto Kawakami Harrop Galvão; Cairo Lúcio Nascimento Júnior (SysCon, 2013)

PHM-based Multi-UAV task assignment. - Ivo Paixao de Medeiros; Leonardo Ramos Rodrigues; Rafael D. C. Santos; Elcio Hideiti Shiguemori; Cairo Lúcio Nascimento Júnior (SysCon, 2014)

Data-driven aircraft estimated time of arrival prediction. - Christian Strottmann Kern; Ivo Paixao de Medeiros; Takashi Yoneyama (SysCon, 2015)

Integrated task assignment and maintenance recommendation based on system architecture and PHM information for UAVs. - Ivo Paixao de Medeiros; Leonardo Ramos Rodrigues; Christian Strottmann Kern; Rafael Duarte Coelho dos Santos; Elcio Hideiti Shiguemori (SysCon, 2015)

Maintenance cost optimization for multiple components using a condition based method. - Leonardo Ramos Rodrigues; Ivo Paixao de Medeiros; Christian Strottmann Kern (SysCon, 2015)

Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning. - Leonardo Ramos Rodrigues; João P. P. Gomes; Felipe A. S. Ferri; Ivo Paixao de Medeiros; Roberto Kawakami Harrop Galvão; Cairo Lúcio Nascimento Júnior (IEEE Syst. J., 2015)

Comparative case study of life usage and data-driven prognostics techniques using aircraft fault messages. - Márcia Baptista; Ivo Paixao de Medeiros; Joao P. Malere; Cairo L. Nascimento Jr.; Helmut Prendinger; Elsa M. P. Henriques (Comput. Ind., 2017)

Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling. - Márcia Baptista; Shankar Sankararaman; Ivo Paixao de Medeiros; Cairo L. Nascimento Jr.; Helmut Prendinger; Elsa M. P. Henriques (Comput. Ind. Eng., 2018)

Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering. - Márcia Baptista; Elsa M. P. Henriques; Ivo Paixao de Medeiros; Joao P. Malere; Cairo L. Nascimento Jr.; Helmut Prendinger (Reliab. Eng. Syst. Saf., 2019)