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Journals peer-reviewed by Scopus
Nguyen, V.Q. and Ngo, T.L. and Nguyen, L.M. and Nguyen, V.H. and Van Nguyen, V. and Nguyen, T.H. (2023) Hybrid of Deep Auto-Encoder and Maximum Mean Discrepancy for Cyber Reconnaissance Detection. In: UNSPECIFIED.
Tran, Q.T. and Nguyen, V.Q. and Ngo, T.L. (2023) Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems. In: UNSPECIFIED.
Nguyen, V.Q. and Nguyen, V.H. and Hoang, T.H. and Shone, N. (2022) A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. In: Conference of 14th International Conference on Knowledge and Systems Engineering, KSE 2022, 19 October 2022 Through 21 October 2022, Virtual, Online.
Nguyen, T.H. and Nguyen, H.X. and Tran, T.N.-C. and Park, J.W. and Le, K.M. and Nguyen, V.Q. and Jeon, J.W.
(2021)
An Effective Method to Improve the Accuracy of a Vernier-Type Absolute Magnetic Encoder.
IEEE Transactions on Industrial Electronics, 68 (8): 9115877.
pp. 7330-7340.
ISSN 2780046
Nguyen, V.Q. and Nguyen, V.H. and Le-Khac, N.-A. and Cao, V.L.
(2020)
Clustering-Based Deep Autoencoders for Network Anomaly Detection.
In: 7th International Conference on Future Data and Security Engineering, FDSE 2020, 25 November 2020 through 27 November 2020.