Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Collares, A., Helal, D., Nesmachnow , S., & Chernykh, A. (2023). Analysis of Public Transportation in Montevideo, Uruguay During the COVID-19 Pandemic. In Nesmachnow, S., Hernández Callejo, L. (Eds.), ICSC-CITIES 2022. Book series: Communications in Computer and Information Science (pp. 200-214). Springer. (ID: 30280)
Gladkov, A., Shiriaev, E., Chernykh, A., deryabin, m., Bezuglova, E., VALUEV, G., Babenko, M., & Nesmachnow , S. (2023). SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems. In Nesmachnow, S., Hernández Callejo, L. (Eds.), Smart Cities. Book series: Communications in Computer and Information Science (pp. 248¿263). Springer. (ID: 30279)
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)
Chernykh, A., Alikhanov, A., Babenko, M., & Samoylenko, I. (2022). In Andrei Tchernykh, Anatoly Alikhanov, Mikhail Babenko, Irina Samoylenko (Eds.), Mathematics and its Applications in New Computer Systems (pp. 924). Springer. (ID: 30296)
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)
Gabrielli, G., Ferreira, I., Dalchiele, P., Chernykh, A., & Nesmachnow , S. (2022). A machine learning approach for detecting traffic incidents from video cameras. In Nesmachnow, S., Hernández Callejo, L. (Eds.), Smart Cities. Book series: Communications in Computer and Information Science (CCIS, vol 1555) (pp. 162-177). Springer. (ID: 30288)