Jorge Reyes

According to our database, Jorge Reyes authored at least 13 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A generalization of the Smagorinsky model.

Shen C. Huang, Adam Johnson, Monika Neda, Jorge Reyes, Hossein Tehrani

Appl. Math. Comput., May, 2024

A note on the long-time stability of pressure solutions to the 2D Navier Stokes equations.

Sean Breckling, Joseph A. Fiordilino, Jorge Reyes, Sidney Shields

Appl. Math. Comput., 2024

2022

Improved long time accuracy for projection methods for Navier-Stokes equations using EMAC formulation.

Sean Ingimarson, Monika Neda, Leo G. Rebholz, Jorge Reyes, An Vu

CoRR, 2022

2017

Using principal component analysis to improve earthquake magnitude prediction in Japan.

Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora

Log. J. IGPL, 2017

Applications of Computational Intelligence in Time Series.

Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme

Comput. Intell. Neurosci., 2017

2016

A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.

Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes

Knowl. Based Syst., 2016

2015

Detecting precursory patterns to enhance earthquake prediction in Chile.

Emilio Florido, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, José Luis Aznarte-Mellado

Comput. Geosci., 2015

A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.

Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero

Entropy, 2015

Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.

Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

2013

Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.

Francisco Martínez-Álvarez, Jorge Reyes, A. Morales-Esteban, Cristina Rubio-Escudero

Knowl. Based Syst., 2013

Neural networks to predict earthquakes in Chile.

Jorge Reyes, A. Morales-Esteban, Francisco Martínez-Álvarez

Appl. Soft Comput., 2013

2010

A Chilean seismic regionalization through a Kohonen neural network.

Jorge Reyes, Víctor H. Cárdenas

Neural Comput. Appl., 2010

2001

Prediction of Particlulate Air Pollution using Neural Techniques.

Patricio Perez, Jorge Reyes

Neural Comput. Appl., 2001