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Low-latency hardware architecture for cipher-based message authentication code.

, , , and . ISCAS, page 1-4. IEEE, (2017)

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Artificial Intelligence at the Edge in the Blockchain of Things., , , , and . MobiHealth, volume 320 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 267-280. Springer, (2019)Edge Computing with Embedded AI: Thermal Image Analysis for Occupancy Estimation in Intelligent Buildings., , , , , and . INTESA, page 1-6. ACM, (2019)Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems., , , , , , and . CCNC, page 826-834. IEEE, (2015)Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes., , , , , , and . IWCMC, page 1765-1770. IEEE, (2017)Edge Computing for Mobile Robots: Multi-Robot Feature-Based Lidar Odometry with FPGAs., , , , , , and . ICMU, page 1-2. IEEE, (2019)Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network., , , , , and . ICMU, page 1-2. IEEE, (2019)NeuroCGRA: A CGRA with support for neural networks., , , , , , and . HPCS, page 506-511. IEEE, (2014)Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach, , , , , , and . Future Generation Computer Systems, (2018)FPGA-based Architecture for a Low-Cost 3D Lidar Design and Implementation from Multiple Rotating 2D Lidars with ROS., , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2019)Offloading Monocular Visual Odometry with Edge Computing: Optimizing Image Quality in Multi-Robot Systems., , , and . ICSCC, page 22-26. ACM, (2019)