Accelerate On-Chip Artificial Neural Network Training: a Customised fNIRS Signals Processing System-on-Chip

Zhao, Y., Zhao, H. and Yang, S. orcid.org/0000-0003-0531-2903 (Accepted: 2025) Accelerate On-Chip Artificial Neural Network Training: a Customised fNIRS Signals Processing System-on-Chip. In: Proceedings of the 38th IEEE International System-on-Chip Conference. 38th IEEE International System-on-Chip Conference, 29 Sep - 01 Oct 2025, Dubai, United Arab Emirates. IEEE (In Press)

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Item Type: Proceedings Paper
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Copyright, Publisher and Additional Information:

This is an author produced version of an conference paper accepted for publication in Proceedings 38th IEEE International System-on-Chip Conference, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 16 July 2025
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)
Funding Information:
Funder
Grant number
Napier University Edinburgh
R2183
Depositing User: Symplectic Publications
Date Deposited: 24 Jul 2025 10:59
Last Modified: 25 Jul 2025 13:46
Status: In Press
Publisher: IEEE
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