Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 22nd International C Alex Orailoglu,Marc Reichenbach,Matthias Jung Conf

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Study of?DNN-Based Ragweed Detection from?Dronesom strong allergic reactions to its pollen. This work studies the use of aerial drones equipped with highly compressed deep neural networks (DNNs) to scan large areas of vegetation for ragweed with high speed and precision. Compared to the manual approaches with an estimated survey cost of roughly 8

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https://doi.org/10.1007/978-3-658-15879-8n the field of general digital hardware design. A dedicated hardware implementation of a Synthetic Aperture Radar (SAR) processing algorithm is used as an example case for a real-world application. It is targeting a modern high performance FPGA platform. We analyze the difference in code size compar

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,Nutzererleben und Bedürfnisse,ce and are therefore suitable candidates to use with approximate memories. Although the error resilience of neural networks has been considered in many studies, tree-based applications have received less attention. In addition, there is no tool available to specifically evaluate the error resilience

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