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VICTOR ANDRES AYMA QUIRITA

VICTOR ANDRES AYMA QUIRITA

VICTOR ANDRES AYMA QUIRITA

Doctor en Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU

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MAGISTER EN INGENIERIA ELECTRICA (PONTIFICIA UNIVERSIDAD CATOLICA DE RIO DE JANEIRO)

INGENIERO ELECTRONICO
DOCENTE CONTRATADO - CONTRATADO
Tiempo parcial por asignaturas (TPA)
Departamento Académico de Ingeniería - Sección Ingeniería Informática

Publicaciones

Se encontraron 17 publicaciones

Moreno-Alvarez, S.; Moreno-Avila, E.; AYMA, V. A.; Pastor-Vargas, R.(2023). Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. Volumen: 20. (pp. 1 - 5). Recuperado de: https://ieeexplore.ieee.org/document/10189386
AYMA, V. A.; Pedro, G.; BELTRAN, C. A.(2022). A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data. Remote Sensing. Volumen: 9. (pp. 2153 - 2153). Recuperado de: https://www.mdpi.com/2072-4292/14/9/2153
PINEDA, F. E.; AYMA, V. A.; BELTRAN, C. A.(2020). A generative adversarial network approach for super-resolution of sentinel-2 satellite images. En 2020 24th ISPRS Congress - Technical Commission I, 31 August 2020 - 2 September 2020. (pp. 9 - 14). International Society for Photogrammetry and Remote Sensing. Recuperado de: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/9/2020/
GONZALEZ, J. M. M.; Sankaran, K.; AYMA, V. A.; BELTRAN, C. A.(2020). Application of Semantic Segmentation with Few Labels in the Detection of Water Bodies from Perusat-1 Satellite's Images. En 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020, 21 March 2020 - 26 March 2020. (pp. 483 - 487). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9165643
PINEDA, F. E.; AYMA, V. A.; ADUVIRI, R. A.; BELTRAN, C. A.(2020). Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution. En Annual International Symposium on Information Management and Big Data SIMBig 2019: Information Management and Big Data. (pp. 291 - 298). Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-030-46140-9_27
AYMA, V. A.; BELTRAN, C. A.; Habb, P.; Costa, G.; Feitosa, R.(2019). Mapping Ausangate glacier changes using clustering techniques on cloud computing infrastructure. En ʽSeventh International Conference on Remote Sensing and Geoinformation of Environmentʼ 18-21 March, 2019 - Cyprus. (pp. 1 - 10). Cyprus. Recuperado de: http://www.cyprusremotesensing.com/rscy2019/
AYMA, V. A.; Costa, G.; Happ, P.; Feitosa, R.; Da Silva, R.; Oliveira, D.(2017). A New Cloud Computing Architecture for the Classification of Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Volumen: 10. (pp. 409 - 416). Recuperado de: https://ieeexplore.ieee.org/document/7567537
AYMA, V. A.; Achanccaray, P.; Feitosa, R.; Happ, P.; Costa, G.; Klinger, T.(2016). Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation. IEEE Geoscience and Remote Sensing Letters. Volumen: 13. (pp. 1364 - 1368). Recuperado de: https://ieeexplore.ieee.org/document/7519028