A Survey of Embedded Machine Learning for Smart and Sustainable Healthcare Applications

Author:

An Sizhe,Tuncel Yigit,Basaklar Toygun,Ogras Umit Y.

Publisher

Springer Nature Switzerland

Reference97 articles.

1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). Software available from https://tensorflow.org

2. An, S., Ogras, U.Y.: MARS: mmWave-based assistive rehabilitation system for smart healthcare. ACM Trans. Embed. Comput. Syst. 20(5s), 1–22 (2021)

3. An, S., Ogras, U.Y.: Fast and scalable human pose estimation using mmWave point cloud (2022). Preprint. arXiv:2205.00097

4. An, S., Bhat, G., Gumussoy, S., Ogras, U.: Transfer learning for human activity recognition using representational analysis of neural networks (2020). Preprint. arXiv:2012.04479

5. An, S., Tuncel, Y., Basaklar, T., Krishnakumar, G.K., Bhat, G., Ogras, U.Y.: Mgait: model-based gait analysis using wearable bend and inertial sensors. ACM Trans. Internet Things 3(1), 1–24 (2021)

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