Cite
MFVT: an anomaly traffic detection method merging feature fusion network and vision transformer architecture.
MLA
Li, Ming, et al. “MFVT: An Anomaly Traffic Detection Method Merging Feature Fusion Network and Vision Transformer Architecture.” EURASIP Journal on Wireless Communications & Networking, vol. 2022, no. 1, Apr. 2022, pp. 1–22. EBSCOhost, https://doi.org/10.1186/s13638-022-02103-9.
APA
Li, M., Han, D., Li, D., Liu, H., & Chang, C.-C. (2022). MFVT: an anomaly traffic detection method merging feature fusion network and vision transformer architecture. EURASIP Journal on Wireless Communications & Networking, 2022(1), 1–22. https://doi.org/10.1186/s13638-022-02103-9
Chicago
Li, Ming, Dezhi Han, Dun Li, Han Liu, and Chin-Chen Chang. 2022. “MFVT: An Anomaly Traffic Detection Method Merging Feature Fusion Network and Vision Transformer Architecture.” EURASIP Journal on Wireless Communications & Networking 2022 (1): 1–22. doi:10.1186/s13638-022-02103-9.