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An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things.

, , , and . IEEE Access, (2021)

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Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication., , , and . CCIOT, page 102-109. ACM, (2019)Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak., , and . CoRR, (2020)Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed., , and . LCN, page 1-4. IEEE, (2023)Engagement Detection with Multi-Task Training in E-Learning Environments., , , and . ICIAP (3), volume 13233 of Lecture Notes in Computer Science, page 411-422. Springer, (2022)Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning., , , , and . CITS, page 1-5. IEEE, (2021)Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection., , and . MASCOTS, page 1-8. IEEE, (2023)Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things., , , and . WF-IoT, page 247-252. IEEE, (2021)DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with online learning for health Internet of Things and Internet of Vehicles., , and . Internet Things, (2024)Deep Learning Intrusion Detection and Mitigation of DoS Attacks., , and . MASCOTS, page 1-4. IEEE, (2024)An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things., , , and . IEEE Access, (2021)