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Applying Neural-network Inferences to Image-based Sensing System with Energy Harvesting

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Figshare2021-07-27 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Applying_Neural-network_Inferences_to_Image-based_Sensing_System_with_Energy_Harvesting/15057825
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This is the dataset for the simulated and measured result for the multi-exit CNN implemented on ESP32-CAM embedder module. The data include:1. Quantization accuracy and coefficient sizes2. Current consumption of ESP32-CAM across different modes3. Processing time across CNN layers4. Time and energy consumption across different CPU clock frequencies5. Measured entropy and accuracy6, Simulated accuracy, battery capacity and processing time across BATTH and ENTTH7. Available battery energy across 45 days
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2021-07-27
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