A Simple Reshaping Method of sEMG Training Data for Faster Convergence in CNN-Based HAR Applications
Author:
Funder
한국연구재단
Soonchunhyang University
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01736-0.pdf
Reference33 articles.
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3. Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278–2324. https://doi.org/10.1109/5.726791
4. Pande S, Karale N (2021) Handwritten digits identification using MNIST database via machine learning models. IOP Conf Ser: Master Sci Eng. https://doi.org/10.1088/1757-899X/1022/1/012108
5. Calik R, Demirci M (2018) Cifar-10 image classification with convolutional neural networks for embedded systems. In: 2018 IEEE/ACS 15th international conference on computer systems and applications (AICCSA), Aqaba, Jordan, October, 2018. https://doi.org/10.1109/AICCSA.2018.8612873
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