Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Feoktistov, A., Edelev, A., Chernykh, A., Gorsky, S., Basharina, O., & Fereferov, E. (2023). An Approach to Implementing High-Performance Computing for Problem Solving in Workflow-Based Energy Infrastructure Resilience Studies. Computation, 11(12), 243. doi: 10.3390/computation11120243. (ID: 29296)
Nesmachnow , S., & Chernykh, A. (2023). The Impact of the COVID-19 Pandemic on the Public Transportation System of Montevideo, Uruguay: A Urban Data Analysis Approach. Urban Science, 7(4), 113. doi: 10.3390/urbansci7040113. (ID: 29297)
Nesmachnow , S., Massobrio, R., Guridi, S., Olmedo, S., & Chernykh, A. (2023). Big Data Analysis for Travel Time Characterization in Public Transportation Systems. Sustainability, 15(19), 14561. doi: 10.3390/su151914561. (ID: 29295)
Pulido Gaytan, L. B., Chernykh, A., Leprevost, F., Bouvry, P., & Goldman, A. (2023). Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access, 11, 102189-102206. doi: 10.1109/ACCESS.2023.3315655. (ID: 29291)
Babenko, M., Golimblevskaia, E., Chernykh, A., Shiriaev, E., Ermakova, T., Pulido Gaytan, L. B., VALUEV, G., Avetisyan, A., & Gagloeva, L. A. (2023). A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data and Cognitive Computing, 7(2), 84. doi: 10.3390/bdcc7020084. (ID: 29301)
Gladkov, A., Shiriaev, E., Chernykh, A., deryabin, m., & Babenko, M. (2023). DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors, 23(7), 3738. doi: 10.3390/s23073738. (ID: 29294)
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)
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)