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An efficient computation offloading architecture for the Internet of Things (IoT) devices.

, and . CCNC, page 728-731. IEEE, (2017)

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An efficient computation offloading architecture for the Internet of Things (IoT) devices., and . CCNC, page 728-731. IEEE, (2017)Scalable and Robust Outlier Detector using Hierarchical Clustering and Long Short-Term Memory (LSTM) Neural Network for the Internet of Things., and . Internet Things, (2020)Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data., , and . WF-IoT, page 818-823. IEEE, (2021)A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices., and . iNIS, page 208-209. IEEE, (2016)Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application., and . UEMCON, page 688-694. IEEE, (2018)Software-defined network and cloud-edge collaboration for smart and connected vehicles., , and . ICDCN Workshops, page 6:1-6:6. ACM, (2018)What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things., , and . IEEE Netw., 37 (3): 194-200 (May 2023)Friend or Foe: Discerning Benign vs Malicious Software and Malware Family., , , and . GLOBECOM, page 1-6. IEEE, (2021)The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks., , and . NCA, page 1-5. IEEE, (2021)Smart plug-in electric vehicle charging to reduce electric load variation at a parking place., , and . CCWC, page 632-638. IEEE, (2018)