A Primer for tinyML Predictive Maintenance: Input and Model Optimisation-Reference-Cited by-同舟云学术

A Primer for tinyML Predictive Maintenance: Input and Model Optimisation

Published:2022 Issue: Volume: Page:67-78
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
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Author:

Njor Emil^ORCID,Madsen Jan^ORCID,Fafoutis Xenofon^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08337-2_6

Reference33 articles.

1. ARM: Processor ip for the widest range of devices. https://www.arm.com/products/silicon-ip-cpu

2. Banbury, C., Reddi, V.J., Torelli, P., Jeffries, N., Kiraly, C., et al.: MLPerf tiny benchmark. In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, Round 1 (2021)

3. Bernstein, L., Sludds, A., Hamerly, R., Sze, V., Emer, J., Englund, D.: Freely scalable and reconfigurable optical hardware for deep learning. Sci. Rep. 11(1), 1–12 (2021)

4. David, R., et al.: Tensorflow lite micro: embedded machine learning for tinyml systems. Proc. Mach. Learn. Syst. 3, 800–811 (2021)

5. Dutta, D.L., Bharali, S.: TinyML Meets IoT: a comprehensive survey. Internet of Things 16, 100461 (2021). https://doi.org/10.1016/j.iot.2021.100461

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