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E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices.

, , , and . IEEE Trans. Computers, 70 (8): 1199-1212 (2021)

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Systematic design flow for dynamic data management in visual texture decoder of MPEG-4., , , , , , and . ISCAS, IEEE, (2006)VWR2A: a very-wide-register reconfigurable-array architecture for low-power embedded devices., , , , and . DAC, page 895-900. ACM, (2022)An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs., , , and . COINS, page 1-6. IEEE, (2022)Versatile FPGA-Based Functional Validation Framework for Networks-on-Chip Interconnections Designs., , , , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 769-776. Central Institute for Applied Mathematics, Jülich, Germany, (2005)i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal Processing., , , , , and . IEEE Embed. Syst. Lett., 11 (2): 50-53 (2019)Direct memory access usage optimization in network applications for reduced memory latency and energy consumption., , , , , and . J. Embed. Comput., 3 (3): 241-254 (2009)E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices., , , and . IEEE Trans. Computers, 70 (8): 1199-1212 (2021)Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems., , , , and . IEEE Trans. Computers, 72 (9): 2548-2560 (September 2023)Results from Running an Experiment as a Service Platform for Mobile Networks., , , , , , , , , and 1 other author(s). WiNTECH@MobiCom, page 9-16. ACM, (2017)Results from running an experiment as a service platform for mobile broadband networks in Europe., , , , , , , , , and 3 other author(s). Comput. Commun., (2019)