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Journals peer-reviewed by Scopus

Huu, H.D. and Bui, N.-M. and Hoang, V.-P. and Quy, T.B. and Van, H.C. (2024) Bearing Fault Classification Based on Residual Component of Motor Current Signal and Machine Learning. In: International Conference on Intelligent Systems and Networks, ICISN 2024, 22 March 2024 Through 23 March 2024, Hanoi.

Huu, H.D. and Quy, T.B. and Bui, N.-M. and Van, V.P. and Thi, T.D. and Hoang, V.-P. (2023) Bearing Fault Classification Using Spectral Portrait of Motor Current Signals and Machine Learning. In: UNSPECIFIED.

Dinh, V.-N. and Bui, N.-M. and Nguyen, V.-T. and John, D. and Lin, L.-Y. and Trinh, Q.-K. (2023) NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro. Neurocomputing, 560: 126838. ISSN 09252312

Bui, N.-M. and Dinh, V.-N. and Pham, V.-H. and Trinh, Q.-K. (2023) Uncovering the Resilience of Binarized Spiking Neural Networks under Adversarial Attacks. In: 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023, 27 November 2023 Through 29 November 2023, Hanoi.

Dinh, V.-N. and Bui, N.-M. and Nguyen, V.-T. and Duong, Q.-M. and Trinh, Q.-K. (2022) FBW-SNN: A Fully Binarized Weights-Spiking Neural Networks for Edge-AI Applications. In: Conference of 2022 IEEE International Conference on IC Design and Technology, ICICDT 2022, 21 September 2022 Through 23 September 2022, Hanoi.

Dinh, V.-N. and Bui, N.-M. and Nguyen, V.-T. and Nguyen, K.-S. and Duong, Q.-M. and Trinh, Q.-K. (2022) A Study on Adversarial Attacks and Defense Method on Binarized Neural Network. In: Conference of 15th International Conference on Advanced Technologies for Communications, ATC 2022, 20 October 2022 Through 22 October 2022, Hanoi.