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Ultra-low Power Embedded Unsupervised Learning Smart Sensor for Industrial Fault Classificatio.

, , , , and . IoTaIS, page 181-187. IEEE, (2020)

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Analog Ultra Low-Power Acoustic Wake-Up System Based on Frequency Detection., , , , , , and . IOTAIS, page 109-115. IEEE, (2018)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)Real-time Passive Acoustic 3D Tracking of Deep Diving Cetacean by Small Non-uniform Mobile Surface Antenna., , , , , , , , and . ICASSP, page 8251-8255. IEEE, (2019)Ultra-Low Power Wake-Up for Long-Term Biodiversity Monitorin., , , , , , and . IoTaIS, page 188-193. IEEE, (2020)Comparing Analog and Digital Processing for Ultra Low-Power Embedded Artificial Intelligence., , , , and . IoTaIS, page 112-116. IEEE, (2022)Low-Power Wake-Up System based on Frequency Analysis for Environmental Internet of Things., , , , , , and . MESA, page 1-6. IEEE, (2018)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)Ultra-low Power Embedded Unsupervised Learning Smart Sensor for Industrial Fault Classificatio., , , , and . IoTaIS, page 181-187. IEEE, (2020)