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Journals peer-reviewed by Scopus

Kucherov, N. and Babenko, M. and Shiriaev, E. and Hung, N.V. (2024) Data Storage with Increased Survivability and Reliability Based on the Residue Number System. Advances in Systems Science and Applications, 24 (2). pp. 166-186.

Kuchukov, V. and Babenko, M. and Kucherov, N. and Hung, N.V. (2024) Investigation of the Rank of Numbers Represented in the Residue Number System. Lecture Notes in Networks and Systems, 1044 L. pp. 222-241.

Hung, N.V. and Doan, D.V. (2022) Experimental Investigation of the Muzzle Blast for the Amphibious Rifles when Shooting Underwater. Defence Science Journal, 72 (5). pp. 695-702.

Tchernykh, A. and Babenko, M. and Pulido-Gaytan, B. and Shiryaev, E. and Golimblevskaia, E. and Avetisyan, A. and Hung, N.V. and Cortés-Mendoza, J.M. (2021) Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. In: 4th International Conference on Optimization and Learning, OLA 2021, 21 June 2021 through 23 June 2021.

Tu, N.M. and Hung, N.V. and Anh, P.V. and Van Loi, C. and Shone, N. (2020) Detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning. In: 7th International Conference on Future Data and Security Engineering, FDSE 2020, 25 November 2020 through 27 November 2020.