Author:
Alsulami Khalil,Zhang Jielun,Ye Feng
Cited by
6 articles.
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1. A Comparative Study on Machine Learning-Aided Flow Traffic Generators;2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET);2023-11-15
2. Sustaining the High Performance of AI-Based Network Traffic Classification Models;IEEE/ACM Transactions on Networking;2023-04
3. Simulating Labuan Bajo Indonesia Cable Based Tsunameter (INA-CBT) Landing Station Network through the Development of IPFIX-based Traffic Generator Application;2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET);2022-12-06
4. Adaptive and Lightweight Network Traffic Classification for Edge Devices;IEEE Transactions on Green Communications and Networking;2022-12
5. Generating Dynamic Urban Traffic Based on Stochastic Origin-Destination Matrix;2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2022-05-04