Damage classification based on machine learning applications for an unmanned aerial vehicle (2017)
Source: Proceedings. Conference titles: International Workshop on Structural Health Monitoring. Unidade: EESC
Subjects: AERONAVES NÃO TRIPULADAS, ROBÓTICA, ASAS DE AERONAVES, ENGENHARIA AERONÁUTICA
ABNT
ANAYA, Maribel et al. Damage classification based on machine learning applications for an unmanned aerial vehicle. 2017, Anais.. Stanford, CA, USA: Stanford University, 2017. Disponível em: https://repositorio.usp.br/directbitstream/8def7de2-b4c3-4430-81be-eeb78bd1b7ce/trabalho%2012%20-%20Damage%20classification%20based%20on%20machine%20learning%20applications%20for%20an%20unmanned%20aerial%20vehicle%20%28The%2011th%20International%20Workshop%20on%20Structural%20Health%20Monitoring%202017%29.pdf. Acesso em: 03 out. 2024.APA
Anaya, M., Cerón Muñoz, H. D., Vitola, J., Tibaduiza, D. A., & Pozo, F. (2017). Damage classification based on machine learning applications for an unmanned aerial vehicle. In Proceedings. Stanford, CA, USA: Stanford University. Recuperado de https://repositorio.usp.br/directbitstream/8def7de2-b4c3-4430-81be-eeb78bd1b7ce/trabalho%2012%20-%20Damage%20classification%20based%20on%20machine%20learning%20applications%20for%20an%20unmanned%20aerial%20vehicle%20%28The%2011th%20International%20Workshop%20on%20Structural%20Health%20Monitoring%202017%29.pdfNLM
Anaya M, Cerón Muñoz HD, Vitola J, Tibaduiza DA, Pozo F. Damage classification based on machine learning applications for an unmanned aerial vehicle [Internet]. Proceedings. 2017 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/8def7de2-b4c3-4430-81be-eeb78bd1b7ce/trabalho%2012%20-%20Damage%20classification%20based%20on%20machine%20learning%20applications%20for%20an%20unmanned%20aerial%20vehicle%20%28The%2011th%20International%20Workshop%20on%20Structural%20Health%20Monitoring%202017%29.pdfVancouver
Anaya M, Cerón Muñoz HD, Vitola J, Tibaduiza DA, Pozo F. Damage classification based on machine learning applications for an unmanned aerial vehicle [Internet]. Proceedings. 2017 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/8def7de2-b4c3-4430-81be-eeb78bd1b7ce/trabalho%2012%20-%20Damage%20classification%20based%20on%20machine%20learning%20applications%20for%20an%20unmanned%20aerial%20vehicle%20%28The%2011th%20International%20Workshop%20on%20Structural%20Health%20Monitoring%202017%29.pdf