Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Vivas, A., Chernykh, A., & Castro Barrera, H. E. (2024). Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review. IEEE Access. doi: 10.1109/ACCESS.2024.3509218. (ID: 30007)
Pulido Gaytan, L. B., & Chernykh, A. (2024). Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption. PLoS ONE, 19(7). doi: 10.1371/journal.pone.0306420. (ID: 29292)
Revilla Duarte, U., Ram¿rez Salinas, M. A., Villa Vargas, L. A., & Chernykh, A. (2024). Proactive Load Balancing to Reduce Unnecessary Thread Migrations on Chip Multi-Processor (CMP) Systems. Computación y Sistemas, 28(2), 623¿645. doi: 10.13053/CyS-28-2-4403. (ID: 30002)
Chernykh, A., Juárez Ramírez, R., Mocskos, E., & Nesmachnow, S. (2024). Guest Editorial Special Issue ¿Recent Trends on Advanced Computing: The Converging Technologies¿. PROGRAMMING AND COMPUTER SOFTWARE, 49(8), 597¿598. doi: 10.1134/S0361768823080285. (ID: 30001)
Lutsenko, V., Babenko, M., Chernykh, A., & Lapina, M. (2023). Optimization of a number division algorithm in the residue number system based on the Akushsky core. Proceedings of the Institute for System Programming of the RAS, 35(5), 157-168. doi: 10.15514/ISPRAS-2022-35(5)-11. (ID: 30003)
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)
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)