Año
Autores / Publicación
VALUEV, G., VALUEVA, M., Babenko, M., & Chernykh, A. (2023). Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access, 11, 26807-26819. doi: 10.1109/ACCESS.2023.3258689. (ID: 29289)
Bezuglova, E., Shiriaev, E., Babenko, M., Chernykh, A., Pulido Gaytan, L. B., & Cortés Mendoza, J. M. (2023). A survey on multi-cloud storage security: threats and countermeasures. Journal of Computational Technologies, 28(1), 72-80. doi: 10.25743/ict.2023.28.1.008. (ID: 30005)
Gladkov, A., Kuchukov, V., Babenko, M., Chernykh, A., Berezhnoy, V., & Drozdov, A. Y. (2022). Modified Error Detection and Localization in the Residue Number System. Programming and Computer Software, 48, 598-605. doi: 10.1134/S0361768822080126. (ID: 28704)
VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Programming and Computer Software, 48, 735-744. doi: 10.1134/S0361768822080217. (ID: 28705)
Vershkov, N., Babenko, M., Chernykh, A., Kuchukov, V., Kucherov, n., Kuchukova, N. N., & Drozdov, A. Y. (2022). Optimization of Artificial Neural Networks using Wavelet Transforms. Programming and Computer Software, 48(6), 376-384. doi: 10.1134/S036176882206007X. (ID: 28226)
Lozano Rizk, J. E., González Trejo, J. E., Rivera Rodríguez, R., Chernykh, A., Villarreal Reyes, S., & Galaviz Mosqueda, G. A. (2022). Application-Aware Flow Forwarding Service for SDN-Based Data Centers. Electronics, 11(23), 22. doi: 10.3390/electronics11233882. (ID: 28203)
VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Proceedings of the Institute for System Programming of the RAS, 34(3), 61-74. doi: 10.15514/ISPRAS-2022-34(3)-5. (ID: 28254)
Rivera Rodríguez, R., González Trejo, J. E., Chernykh, A., Lozano Rizk, J. E., Villarreal Reyes, S., Galaviz Mosqueda, G. A., & Gonzalez Compean, J. L. (2022). A Novel Strategy for Computing Routing Paths for Software-Defined Networks Based on MOCell Optimization. Applied Sciences, 12(22), 13. doi: 10.3390/app122211590. (ID: 28059)
Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Avetisyan, A., Nesmachnow , S., Wang, X., & Granelli, F. (2022). Towards the sign function best approximation for secure outsourced computations and control. Mathematics, 10(12), 2006. doi: 10.3390/math10122006. (ID: 28212)
Sanchez Gallegos, D. D., Gonzalez Compean, J. L., Carretero, J., Marin, H., Chernykh, A., & Montella, R. (2022). PuzzleMesh: A puzzle model to build mesh of agnostic services for edge-fog-cloud. IEEE Transactions on Services Computing, 1 - 1. doi: 10.1109/TSC.2022.3175057. (ID: 28225)
Peña Morales, D., Chernykh, A., Dorronsoro, B., & Ruiz, P. (2022). A novel multi-objective optimization approach to guarantee equality of service and energy efficiency in a heterogeneous bus fleet system. Engineering Optimization. doi: 10.1080/0305215X.2022.2055007. (ID: 28213)
Chernykh, A., Babenko, M., Shiriaev, E., Pulido Gaytan, L. B., Cortés Mendoza, J. M., Avetisyan, A., Drozdov, A. Y., & Kuchukov, V. (2022). An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Computation, 10(2), 17. doi: 10.3390/computation10020017. (ID: 27459)
Canosa Reyes, R. M., Chernykh, A., Cortés Mendoza, J. M., Pulido Gaytan, L. B., Rivera Rodríguez, R., Lozano Rizk, J. E., Concepción Morales, E., Castro Barrera, H. E., Barrios Hernandez, C. B., Medrano Jaimes, H. F., Avetisyan, A., Babenko, M., & Drozdov, A. Y. (2022). Dynamic performance¿Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds. PLoS ONE, 17(1), e0261856. doi: 10.1371/journal.pone.0261856. (ID: 27456)
Babenko, M., Chernykh, A., & Kuchukov, V. (2022). Improved Modular Division Implementation with the Akushsky Core Function. Computation, 10(1), 9. doi: 10.3390/computation10010009. (ID: 27457)
Babenko, M., Nazarov, A., deryabin, m., Kucherov, n., Chernykh, A., Viet Hung, N., Avetisyan, A., & Toporkov, V. (2022). Multiple Error Correction in Redundant Residue Number Systems: A Modified Modular Projection Method with Maximum Likelihood Decoding. Applied Sciences, 12(1), 463. doi: 10.3390/app12010463. (ID: 27453)