Año
Autores / Publicación
Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Kuchukov, V., Cortés Mendoza, J. M., deryabin, m., Kucherov, n., Radchenko, G., & Avetisyan, A. (2018). AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 102, 60-73. doi: 10.1016/j.ijar.2018.07.010. (ID: 24523)
Hernández Cruz, N., & Favela Vara, J. (2018). Assessing the Perception of Physical Fatigue using Mobile Sensing. In Miguel A. Wister, Pablo Pancardo, Francisco D. Acosta, Jose A. Hernán (Eds.), Intelligent Data Sensing and Processing for Health and Well-being Applications (1 ed., pp. 161-173). Academic Press. (ID: 23534)
Picos, K., Díaz Ramírez, V. H., Montemayor, A., Pantrigod, J., & Kober, V. (2018). Three-dimensional pose tracking by image correlation and particle filtering. Optical Engineering, 57(7), 073108-16. doi: 10.1117/1.OE.57.7.073108. (ID: 24032)
Chernykh, A., Cortés Mendoza, J. M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., & Borodulin, k. (2018). Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, 1-18. doi: 10.1016/j.jpdc.2018.07.001. (ID: 24524)
Fernández Zepeda, J. A., Brubeck Salcedo, D., Fajardo Delgado, D., & Zatarain Aceves, H. (2018). A Two-Player Coalition Cooperative Scheme for the Bodyguard Allocation Problem. Journal of Computer Science and Technology, 33(4), 823-837. doi: 10.1007/s11390-018-1858-8. (ID: 23822)
Olague Caballero, G., Hernández Morales, D. E., Clemente Torres, E. H., & Chan Ley, M. A. (2018). Evolving Head Tracking Routines with Brain Programming. IEEE Access, 6, 26254-26270. doi: 10.1109/ACCESS.2018.2831633. (ID: 24014)
Massobrio, R., Nesmachnow, S., Chernykh, A., Avetisyan, A., & Radchenko, G. (2018). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. PROGRAMMING AND COMPUTER SOFTWARE, 44(3), 181-189. doi: 10.1134/S0361768818030052. (ID: 24526)
von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2018). An overview on evolutionary algorithms for many-objective optimization problems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. doi: 10.1002/widm.1267. (ID: 23748)
Ramírez Chacón, M., Hidalgo Silva, H. H., & Chávez González, E. L. (2018). Indexing and searching point clouds. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 34(5), 3349-3358. doi: 10.3233/JIFS-169516. (ID: 24106)
Drozdov, A. Y., Chernykh, A., Novikov, S. V., Vladislavlev, V. E., & Rivera Rodríguez, R. (2018). PHEFT: Pessimistic Image Processing Workflow Scheduling for DSP Clusters. Algorithms, 11(5), 1-13. doi: 10.3390/a11050076. (ID: 24528)
Año
Autores / Publicación
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