Suspended Particle Characterization Using Convolution Neural Networks from Acoustic Backscatter Data

Hartley, J., Mortimer, L.F., Peakall, J. et al. (4 more authors) (2024) Suspended Particle Characterization Using Convolution Neural Networks from Acoustic Backscatter Data. In: American Institute of Physics Conference Proceedings. 22nd International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2024), 11-17 Sep 2024, Heraklion, Crete, Greece. American Institute of Physics

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Hartley, J.
  • Mortimer, L.F.
  • Peakall, J.
  • Bourne, R.A.
  • Dodds, J.M.
  • Fairweather, M.
  • Hunter, T.N.
Copyright, Publisher and Additional Information:

This is an author produced version of a conference paper accepted for publication in American Institute of Physics Conference Proceedings, 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:
  • Published: 11 September 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Jan 2025 15:59
Last Modified: 07 Jan 2025 16:06
Status: Published
Publisher: American Institute of Physics
Open Archives Initiative ID (OAI ID):

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