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Comparing Analog and Digital Processing for Ultra Low-Power Embedded Artificial Intelligence.

, , , , and . IoTaIS, page 112-116. IEEE, (2022)

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Low-Power Wake-Up System based on Frequency Analysis for Environmental Internet of Things., , , , , , and . MESA, page 1-6. IEEE, (2018)Ultra-low Power Embedded Unsupervised Learning Smart Sensor for Industrial Fault Classificatio., , , , and . IoTaIS, page 181-187. IEEE, (2020)Ultra Low-Power 2.5µW CMOS Implementation of a Mixed Analog-Digital Wake-Up System Based on Frequency Analysis., , , , , , and . NEWCAS, page 1-4. IEEE, (2021)Modelling and Optimisation of a RoboCup MSL Coilgun., , , and . RoboCup, volume 11531 of Lecture Notes in Computer Science, page 71-85. Springer, (2019)Analog Features Extractor for Ultra-Low Power Embedded AI Listening and Keyword Spotting., , , , and . AICAS, page 1-5. IEEE, (2024)Applications of an Ultra Low-Power Analog Wake-up Detector for Environmental IoT Networks and Military Smart Dust., , , , and . IOTAIS, page 16-22. IEEE, (2018)Embedded Learning for Smart Functional Electrical Stimulation., , , , , , and . I2MTC, page 1-6. IEEE, (2020)Low-Pass NGD Numerical Function and STM32 MCU Emulation Test., , , , , and . IEEE Trans. Ind. Electron., 69 (8): 8346-8355 (2022)Implementation of the Standardized Human Body Communications - A Feasibility Study., , , , , , and . ICECS, page 643-644. IEEE, (2018)Experimental Investigation of Relative Localization Estimation in a Coordinated Formation Control of Low-Cost Underwater Drones., , and . Sensors, 23 (6): 3028 (March 2023)