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Achieving Bounded Matching Delay and Maximized Throughput in Information Dissemination Management., , and . IEEE Trans. Network and Service Management, 8 (1): 26-38 (2011)Efficient deep neural network inference for embedded systems: a mixture of experts approach.. Lancaster University, UK, (2020)British Library, EThOS.Experimental Characterization of a Supercapacitor-Based Electrical Torque-Boost System for Downsized ICE Vehicles., , , and . IEEE Trans. Veh. Technol., 56 (6): 3674-3681 (2007)Adaptive optimization for OpenCL programs on embedded heterogeneous systems., , and . LCTES, page 11-20. ACM, (2017)Cracking Android Pattern Lock in Five Attempts., , , , , , and . NDSS, The Internet Society, (2017)Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection., , , and . CoRR, (2019)Adaptive deep learning model selection on embedded systems., , , , and . LCTES, page 31-43. ACM, (2018)Integrated control of matching delay and CPU utilization in information dissemination systems., , and . IWQoS, page 1-9. IEEE, (2009)Improving spark application throughput via memory aware task co-location: a mixture of experts approach., , , and . Middleware, page 95-108. ACM, (2017)Adaptive Selection of Deep Learning Models on Embedded Systems., , , , and . CoRR, (2018)