MATHEMATICS & COMPUTER SCIENCE

Basically, I have collaborated in several works in different areas: computer vision and image processing and modeling of logistic problems related with transport in the new economy. I have also collaborated in message dissemination on communication networks with Grupo de Redes de Computadores (GRC-UPV).

  1. J.A. Conejero, C. Jordán, and E. Sanabria-Codesal. An iterative algorithm for the management of an electric car-rental service. J. Appl. Math. 2014, 2014, article ID 483734, 11 pages. doi:10.1155/2014/483734
  2. J.A. Conejero, C. Jordán, E. Sanabria-Codesal. A tree-based model for setting optimal train fare zones. Math. Probl. Eng. 2014, 2014, article ID 384321, 11 pages. doi:10.1155/2014/384321
  3. J.A. Conejero, C. Jordán, and E. Sanabria-Codesal. An algorithm for self-organization of driverless vehicles of a car-rental serviceNonlinear Dyn. 84, 107-114 2016. doi:10.1007/s11071-015-2237-4
  4. E. Hernández-Orallo, M. Murillo-Arcila, C.T. Calafate, J.C. Cano, J.A. Conejero, P. Manzoni. Analytical evaluation of the performance of contact-Based messaging applications. Computer Networks, 111C,  45-54 (2016). doi:10.1016/j.comnet.2016.07.006
  5. E. Hernández-Orallo, M. Murillo-Arcila, C.T. Calafate, J.C. Cano, J.A. Conejero, P. Manzoni. Analytical evaluation of the performance of contact-Based messaging applications. Computer Networks, 111C,  45-54 (2016). doi:10.1016/j.comnet.2016.07.006
  6. C. Jordán, J.A. Gómez, and J.A. Conejero. An analysis of the influence of Graph Theory when preparing for programming contests. Mathematics, 5:1, 8, 2017. doi:10.3390/math5010008
  7. J.A. Pérez-Melián, J.A. Conejero, and C. Ferri. Zipf’s and Benford’s law in Twitter hashtags. Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 84–93, Valencia, Spain, April 3-7 2017. Link 978-1-945626-34-0
  8. C. Pérez-Benito, S. Morillas, C. Jordán, J.A. Conejero. Smoothing vs. sharpening of color images – Together or separated. Applied Mathematics Nonlinear Sciences 2:1, 299–316, 2017.  doi:10.21042/AMNS.2017.1.00025
  9. E. Hernández-Orallo, M. Murillo-Arcila, J. C. Cano, C. T. Calafate, J. A. Conejero and P. Manzoni. An analytical model based on population processes to characterize data dissemination in 5G opportunistic networks. IEEE Access, 6, 1603-1615. (2018). doi:0.1109/ACCESS.2017.2779748
  10. C. Pérez-Benito, C. Jordán, S. Morillas, and J.A. Conejero. A model based on local graphs for colour images and its application for Gaussian noise smoothing. J. Comp. Appl. Math. 330, 955-964, 2018. doi:10.1016/j.cam.2017.05.013
  11. J.A. Conejero, E. Hernández-Orallo, P. Manzoni, and M. Murillo-Arcila. A SIR-based model for contact-based messaging applications supported by permanent infrastructure. Discrete Contin. Dyn. Syst. Ser. S, 12, 735-746 (2019). doi:10.3934/dcdss.2019048
  12. C. Pérez-Benito, C. Jordán, S. Morillas, and J.A. Conejero. Graph-based methods for simultaneous smoothing and sharpening of color images. J. Comp. Appl. Math. 350, 380-395 (2019). doi:10.1016/j.cam.2018.10.031 
  13. C. Pérez-Benito, C. Jordán, J.A. Conejero, and S. Morillas. Graph-based methods for simultaneous smoothing and sharpening of color images (Methods). MethodsX 7, 1008195 (2020). doi:10.1016/j.mex.2020.100819