Año
Autores / Publicación
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)
Ruiz Lopez, U. (2023). Surveillance evasion between two identical differential drive robots. European Journal of Control. doi: 10.1016/j.ejcon.2023.100935. (ID: 29082)
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)
Ibarra Vazquez, G., Ramírez Montoya, M. S., Buenestado Fernández, M., & Olague Caballero, G. (2023). Predicting open education competency level: A machine learning approach. HELIYON, 9(11), 1-15. doi: 10.1016/j.heliyon.2023.e20597. (ID: 29035)
Valdez Gastelum, M. C., Alvarez Molina, K., Castro Quiroa, L. A., & Tentori Espinosa, M. E. (2023). Zens: Designing and Evaluating a Movement Sonification Interface to Alter Body and Flexibility Perception in Yoga. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 178. doi: 10.1016/j.ijhcs.2023.103084. (ID: 28708)
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)
Díaz Bañez, J. M., Horn, P., López, M. A., Marín Nevarez, J. N., Ramírez Vigueras, A., Solé Pi, O., Stevens, A. L., & Urrutia Galicia, J. (2023). Separability, Boxicity, and Partial Orders. ORDER-A JOURNAL ON THE THEORY OF ORDERED SETS AND ITS APPLICATIONS, 40(3), 699--712. doi: 10.1007/s11083-023-09628-8. (ID: 29732)
Olague Caballero, G., Pineda Núñez, R., Ibarra Vazquez, G., Olague, M., Martínez Navarro, A., Bakshi, S., Vargas Vega, J. N., & Reducindo, I. (2023). Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning. IEEE Transactions on Emerging Topics in Computing, 1-14. doi: 10.1109/TETC.2023.3316549. (ID: 29032)
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)
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