Projects per year
Network
Projects
- 5 Finished
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Applications in Data Science
Navas Ruilova, G. E., Almachi Viteri, W. M., Almeida Muñoz, J. F., Alomoto Tipanluisa, D. V., Calahorrano Caiza, J. G., Calderón Yépez, J. J., Carrera Jarrín, A. A., Cueva Castillo, A. D., Echeverría Villacis, D. A., Figueroa Quinga, H. R., Herrera Herrera, E. L., Reimundo Gualotuña, J. A., Sacancela Chicharron, L. F., Solís Cúñez, S. M., Sosa Erazo, M. V., Sulca Arévalo, J. L., Valencia Sánchez, J. X., Zambonino Altamirano, M. A., Arevalo Campos, A. R., Llerena Paz, R. D., Padilla Arias, W. R. & Tufiño Cardenas, R. E.
24/03/19 → 24/03/21
Project: Research and Development
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Formulation of a Scalable and Efficient Algorithm for Replicated Databases Using Causal Consistency
Tufiño Cardenas, R. E., Arévalo Viñuales, S. & Muñoz Fernandez, M. I.
2/04/18 → 2/04/18
Project: Research and Development
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Machine Learning Techniques Using Apache Spark
Proaño Orellana, J. R., Juma Jara, J. R., Pillajo Analuisa, P. D., Reinoso Orbe, A. V., Zapata Ruiz, B. L. & Tufiño Cardenas, R. E.
2/04/18 → 2/04/19
Project: Research and Development
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Scalable and Efficient Algorithm for Replicated Databases Using Causal Consistency
Tufiño Cardenas, R. E., Arévalo Viñuales, S. & Muñoz Fernandez, M. I.
2/01/17 → 2/01/17
Project: Research and Development
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Free Software Applications for Smart Home
Correa Zapata, E. J. & Tufiño Cardenas, R. E.
1/01/14 → 1/01/14
Project: Research and Development
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Hacia la Construcción de un Dispositivo de Asistencia para Personas no Videntes en el Juego de Cuarenta
Ortega Martinez, H. R. & Tufiño Cardenas, R. E., 29 Sep 2017, In: Enfoque Ute. 8, 4, p. 27-40Translated title of the contribution :Toward The Construction Of An Assistive Device For Blind People In The Forty Game Research output: Contribution to journal › Article
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Automatic Identification Of a Playing Card Through Knn Using a Raspberry Pi 3
Tufiño Cardenas, R. E. & Ortega Martinez, H. R., 15 Dec 2016.Translated title of the contribution :Automatic Identification of A Playing Card Through KNN Using Raspberry Pi 3 Research output: Contribution to conference › Paper