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On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults.

, , , and . NCA, page 291-295. IEEE, (2022)

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DECONN: Combining Minimum and Neutral Energy Consumption Strategies in IoT Networks., , , , , and . WMNC, page 101-107. IEEE, (2022)Group Communication in Machine-to-Machine Environments., , and . Wireless Networking for Moving Objects, volume 8611 of Lecture Notes in Computer Science, Springer, (2014)Flight Planning Optimization of Multiple UAVs for Internet of Things., , , , , , , and . Sensors, 21 (22): 7735 (2021)Towards High Energy Efficiency in the Internet of Things., , , and . ISCC, page 1-6. IEEE, (2019)An Efficient Heuristic LoRaWAN Adaptive Resource Allocation for IoT Applications., , , , , , and . ISCC, page 1-6. IEEE, (2020)AID-SDN: Advanced Intelligent Defense for SDN Using P4 and Machine Learning., , , and . LATINCOM, page 1-6. IEEE, (2023)HTTP-DTNSec: An HTTP-Based Security Extension for Delay/Disruption Tolerant Networking., , , and . ICCSA (1), volume 12949 of Lecture Notes in Computer Science, page 325-340. Springer, (2021)DYNASTI - Dynamic Multiple RPL Instances for Multiple IoT Applications in Smart City., , , , , and . Sensors, 20 (11): 3130 (2020)An Online Quantitative Measure of Density for Low-Power IoT Networks., , , , and . IEEE SENSORS, page 1-4. IEEE, (2020)On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults., , , and . NCA, page 291-295. IEEE, (2022)