Design and Implementation of Tiny ML Model Using STM32F Platform
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9436-6_12
Reference15 articles.
1. Ray PP (2022) A review on TinyML: state-of-the-art and prospects. J King Saud Univ Comput Inf Sci 34(4)
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3. Sanchez-Iborra R, Skarmeta AF (2020) TinyML-enabled frugal smart objects: challenges and opportunities. IEEE Circuits Syst Mag 20(3):4–18. https://doi.org/10.1109/MCAS.2020.3005467
4. Alajlan NN, Ibrahim DM (2022) TinyML: enabling inference deep learning models on ultra-low-power IoT edge devices for AI applications. Micromachines 13:851. https://doi.org/10.3390/mi13060851
5. Han H, Siebert J, TinyML: a systematic review and synthesis of existing research. In: 2022 international conference on artificial intelligence in information and communication (ICAIIC), pp 269–274. https://doi.org/10.1109/ICAIIC54071.2022.9722636
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