Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset

Zhao, Y. orcid.org/0009-0002-7423-1007, Xia, Y. orcid.org/0009-0000-2768-6418, Loureiro, R. orcid.org/0000-0002-9335-3811 et al. (3 more authors) (2023) Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. In: IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL. IWOCL '23: International Workshop on OpenCL, 18-20 Apr 2023, Cambridge, UK. ACM ISBN 979-8-4007-0745-2

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Item Type: Proceedings Paper
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© Owner/Author(s) | ACM 2023. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, http://dx.doi.org/10.1145/10.1145/3585341.3585380.
Dates:
  • Published: 18 April 2023
  • Published (online): 18 April 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Feb 2024 12:57
Last Modified: 07 Feb 2024 16:29
Status: Published
Publisher: ACM
Identification Number: 10.1145/3585341.3585380
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