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Integer ConvNets on Embedded CPUs: Tools and Performance Assessment on the Cortex-A Cores., , , and . ICECS, page 598-601. IEEE, (2019)EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets., , and . AICAS, page 233-237. IEEE, (2020)Adaptive Test-Time Augmentation for Low-Power CPU., , , , and . CoRR, (2021)Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting., , , and . AIIoT, page 427-433. IEEE, (2023)EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets., , and . CoRR, (2019)Ultra-Fine Grain Vdd-Hopping for energy-efficient Multi-Processor SoCs., , , and . VLSI-SoC, page 1-6. IEEE, (2016)Object based modelling of hybrid electrical vehicle and power management control., , , , , , , , , and 2 other author(s). RTSI, page 534-540. IEEE, (2015)AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets., , , , and . VLSI-SoC, page 1-6. IEEE, (2021)Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets., , , and . SNAMS, page 454-459. IEEE, (2019)Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms., , , , , and . DATE, page 1703-1708. IEEE, (2019)