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Artificial Vision on Edge IoT Devices: A Practical Case for 3D Data Classification.

, , , and . DCIS, page 1-7. IEEE, (2019)

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Power management techniques in an FPGA-based WSN node for high performance applications., , , , , and . ReCoSoC, page 1-8. IEEE, (2012)A Machine-Learning-Based Distributed System for Fault Diagnosis With Scalable Detection Quality in Industrial IoT., , , , , and . IEEE Internet Things J., 8 (6): 4339-4352 (2021)Analysis of the NTRU Post-Quantum Cryptographic Scheme in Constrained IoT Edge Devices., , and . IEEE Internet Things J., 9 (19): 18778-18790 (2022)Performance evaluation of an AODV-based routing protocol implementation by using a novel in-field WSN diagnosis tool., , and . Microprocess. Microsystems, 39 (8): 920-938 (2015)Internet of Things Technology for Train Positioning and Integrity in the Railway Industry Domain., , , and . NOMS, page 1-6. IEEE, (2023)3D-LIDAR Based Object Detection and Tracking on the Edge of IoT for Railway Level Crossing., , , and . IEEE Access, (2021)Edge and Fog Computing Platform for Data Fusion of Complex Heterogeneous Sensors., , , , , , , and . Sensors, 18 (11): 3630 (2018)Artificial Vision on Edge IoT Devices: A Practical Case for 3D Data Classification., , , and . DCIS, page 1-7. IEEE, (2019)Hardware Accelerator for Ethanol Detection in Water Media based on Machine Learning Techniques., , , , , , and . DCIS, page 1-6. IEEE, (2019)FPGA-Based High-Performance Embedded Systems for Adaptive Edge Computing in Cyber-Physical Systems: The ARTICo3 Framework., , , , , and . Sensors, 18 (6): 1877 (2018)