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A machine learning approach to TCP state monitoring from passive measurements.

, , , and . Wireless Days, page 164-171. IEEE, (2018)

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Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques., , , and . AINA, page 909-918. IEEE Computer Society, (2017)A machine learning approach to TCP state monitoring from passive measurements., , , and . Wireless Days, page 164-171. IEEE, (2018)Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives., and . Sensors, 22 (24): 9916 (2022)Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning., , , , and . ICCCN, page 1-11. IEEE, (2020)COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics., , , and . SAM, page 216-220. IEEE, (2022)Classification of Delay-based TCP Algorithms From Passive Traffic Measurements., , and . NCA, page 1-10. IEEE, (2019)A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems., , and . INFOCOM Workshops, page 1-6. IEEE, (2023)Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement., , , and . DAIS, volume 13272 of Lecture Notes in Computer Science, page 114-130. Springer, (2022)Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic., , , and . ICCCN, page 1-11. IEEE, (2018)A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP., , , and . IPCCC, page 1-10. IEEE, (2019)