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MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning.

Y. Duan, C. Li, G. Bai, G. Chen, F. Zhou, J. Chen, Z. Gao, and C. Zhang. J. Cloud Comput., 12 (1): 126 (December 2023)

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Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Deep Reinforcement Learning Aided Cell Outage Compensation Framework in 5G Cloud Radio Access Networks.P. Yu, X. Yang, F. Zhou, H. Li, L. Feng, W. Li, and X. Qiu. Mob. Networks Appl., 25 (5): 1644-1654 (2020)Hotspot localization and prediction in wireless cellular networks via spatial traffic fitting.X. Zhang, F. Zhou, J. Ning, P. Yu, and W. Li. NOMS, page 1-6. IEEE, (2018)Intelligent Reflecting Surface Aided Wireless Clock Synchronization for Indoor Substation.K. Xie, L. Feng, Y. Yang, and F. Zhou. IEEE Trans. Smart Grid, 15 (2): 2362-2378 (2024)Resource consumption and security-aware multi-tenant service function chain deployment based on hypergraph matching.J. Gao, L. Feng, P. Yu, F. Zhou, Z. Wu, X. Qiu, J. Li, and Y. Zhu. Comput. Networks, (2022)Research on Chirp Signal Denoising Algorithm Based on IoT.S. Liu, P. Yu, F. Zhou, and H. Wang. IWCMC, page 331-336. IEEE, (2020)Automatic Network Slicing for IoT in Smart City.F. Zhou, P. Yu, L. Feng, X. Qiu, Z. Wang, L. Meng, M. Kadoch, L. Gong, and X. Yao. IEEE Wirel. Commun., 27 (6): 108-115 (2020)Backhaul-Constrained Coverage Analysis of Integrated High and Low Altitude Platforms Aerial Communication System in Post-Disaster Areas.Y. Zhao, F. Zhou, L. Feng, W. Li, Y. Sun, and M. Imran. IEEE Commun. Lett., 27 (6): 1629-1633 (2023)3D Deployment and User Association of CoMP-assisted Multiple Aerial Base Stations for Wireless Network Capacity Enhancement.Y. Zhao, F. Zhou, W. Li, Y. Gao, L. Feng, and P. Yu. CNSM, page 56-62. IEEE, (2021)Componentized Task Scheduling in Cloud-Edge Cooperative Scenarios Based on GNN-enhanced DRL.J. Li, F. Zhou, W. Li, M. Zhao, X. Yan, Y. Xi, and J. Wu. NOMS, page 1-4. IEEE, (2023)Decomposition of power system inspection services for 5G cloud-edge-end collaboration.H. Xiang, Y. Wang, Y. Lv, Y. Dong, H. Wang, Y. Yang, L. Wei, F. Zhou, and L. Feng. IWCMC, page 1-6. IEEE, (2022)

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Disambiguation of "Zhou, Fanqin"

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MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning.

Please choose a person to relate this publication to

Zhou Zhou

Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhou, Fanqin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning.

Please choose a person to relate this publication to

Zhou Zhou

Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning.