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
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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: 30 set. 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 set. 30 ] 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 set. 30 ] 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