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Alexander Yu. Drozdov
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2020 – today
- 2022
- [j16]Andrei Tchernykh
, Mikhail G. Babenko
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Comput. 10(2): 17 (2022) - [j15]Nikolay A. Vershkov
Optimization of Artificial Neural Networks using Wavelet Transforms. Program. Comput. Softw. 48(6): 376-384 (2022) - [j14]Andrei Gladkov, Viktor Andreevich Kuchukov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Berezhnoy, Alexander Yu. Drozdov:
Modified Error Detection and Localization in the Residue Number System. Program. Comput. Softw. 48(8): 598-605 (2022) - 2021
- [j13]Luis Bernardo Pulido-Gaytan
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Netw. Appl. 14(3): 1666-1691 (2021) - 2020
- [j12]Vanessa Miranda-López
2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access 8: 199424-199439 (2020) - [j11]Andrei Tchernykh
Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet Things J. 7(10): 10171-10188 (2020)
2010 – 2019
- 2019
- [j10]Andrei Tchernykh
Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Clust. Comput. 22(4): 1173-1185 (2019) - [j9]Godofredo R. Garay, Andrei Tchernykh
Visualization of VHDL-based simulations as a pedagogical tool for supporting computer science education. J. Comput. Sci. 36 (2019) - [j8]David Pena
Operating cost and quality of service optimization for multi-vehicle-type timetabling for urban bus systems. J. Parallel Distributed Comput. 133: 272-285 (2019) - [c4]Luis Enrique García-Hernández
Multi-objective Configuration of a Secured Distributed Cloud Data Storage. CARLA 2019: 78-93 - 2018
- [j7]Alexander Yu. Drozdov, Andrei Tchernykh
PHEFT: Pessimistic Image Processing Workflow Scheduling for DSP Clusters. Algorithms 11(5): 76 (2018) - [c3]Andrei Tchernykh
WA-RRNS: Reliable Data Storage System Based on Multi-cloud. IPDPS Workshops 2018: 666-673 - 2017
- [j6]Fermin-Alberto Armenta-Cano, Andrei Tchernykh
Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. Program. Comput. Softw. 43(3): 204-215 (2017) - [c2]Luis-Angel Galaviz-Alejos
Bi-objective Heterogeneous Consolidation in Cloud Computing. CARLA 2017: 384-398 - 2016
- [j5]Andrei Tchernykh
Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. J. Grid Comput. 14(1): 5-22 (2016) - [j4]Jorge M. Cortés-Mendoza
Biobjective VoIP Service Management in Cloud Infrastructure. Sci. Program. 2016: 5706790:1-5706790:14 (2016) - [c1]Jorge M. Cortés-Mendoza
Robust cloud VoIP scheduling under VMs startup time delay uncertainty. UCC 2016: 234-239 - 2014
- [j3]Alexander Yu. Drozdov, S. V. Novikov, V. E. Vladislavlev, E. L. Kochetkov, P. V. Il'in:
Program auto parallelizer and vectorizer implemented on the basis of the universal translation library and LLVM technology. Program. Comput. Softw. 40(3): 128-138 (2014)
2000 – 2009
- 2009
- [j2]Alexander Yu. Drozdov:
Component approach for construction of optimizing compilers. Program. Comput. Softw. 35(5): 291-300 (2009) - [j1]Alexander Yu. Drozdov, S. V. Novikov:
A program auto-parallelizer based on the component technology of optimizing compiler construction. Program. Comput. Softw. 35(6): 321-339 (2009)
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