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Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000.

, , , , , and . SenSys, page 934-940. ACM, (2022)

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SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments., , , and . IEEE Trans. Mob. Comput., 22 (9): 5525-5538 (September 2023)Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000., , , , , and . SenSys, page 934-940. ACM, (2022)eSense: Open Earable Platform for Human Sensing., , , , , and . UbiComp/ISWC Adjunct, page 381-383. ACM, (2018)Exploring audio and kinetic sensing on earable devices., , and . WearSys@MobiSys, page 5-10. ACM, (2018)Poster: towards mobile GPU-accelerated context processing for continuous sensing applications on smartphones., , , , , , and . MobiSys, page 505-506. ACM, (2012)Zaturi: We Put Together the 25th Hour for You. Create a Book for Your Baby., , , , , , , and . CSCW, page 1850-1863. ACM, (2017)Automatic Smile and Frown Recognition with Kinetic Earables., , , , , , and . AH, page 25:1-25:4. ACM, (2019)An AI-Native Runtime for Multi-Wearable Environments., , , , , , , and . CoRR, (2024)Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras., , , and . ICMU, page 1-6. IEEE, (2021)MobiCon: a mobile context-monitoring platform., , , , , , , , and . Commun. ACM, 55 (3): 54-65 (2012)