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TaRad: A Thing-Centric Sensing System for Detecting Activities of Daily Living.

, , , , and . IDCS, volume 11874 of Lecture Notes in Computer Science, page 357-368. Springer, (2019)

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Characterization and analysis of cloud-to-user latency: The case of Azure and AWS., , , , , and . Comput. Networks, (2021)Benchmarking Class Incremental Learning in Deep Learning Traffic Classification., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 51-69 (February 2024)Wi-CR: Human Action Counting and Recognition with Wi-Fi Signals., , , , , and . ICCCS, page 1-8. IEEE, (2019)Challenges and solution for measuring available bandwidth in software defined networks., , , , and . Comput. Commun., (2017)Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness., , , , , and . Comput. Secur., (May 2023)A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification., , , , , , and . TMA, IFIP, (2021)Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe., , , , , and . GLOBECOM, page 1-6. IEEE, (2019)Active Techniques for Available Bandwidth Estimation: Comparison and Application., , , and . Data Traffic Monitoring and Analysis, volume 7754 of Lecture Notes in Computer Science, Springer, (2013)Monitoring Internet Censorship with UBICA., , , , , , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 143-157. Springer, (2015)MIMETIC: Mobile encrypted traffic classification using multimodal deep learning., , , and . Comput. Networks, (2019)