Visualisation of pollen rehydration via deep learning
Visualisation of pollen rehydration via deep learning
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Eason, R.W.
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
1 February 2022
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Eason, R.W.
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James, Praeger, Matthew, Eason, R.W. and Mills, Benjamin
(2022)
Visualisation of pollen rehydration via deep learning.
IOP Food Physics 2022, Virtual.
01 - 02 Feb 2022.
1 pp
.
Record type:
Conference or Workshop Item
(Other)
Text
IOP_Food_Physics_2022
- Accepted Manuscript
More information
Published date: 1 February 2022
Venue - Dates:
IOP Food Physics 2022, Virtual, 2022-02-01 - 2022-02-02
Identifiers
Local EPrints ID: 454719
URI: http://eprints.soton.ac.uk/id/eprint/454719
PURE UUID: f9179985-1d0f-432d-98a3-66201abc12ac
Catalogue record
Date deposited: 21 Feb 2022 17:50
Last modified: 17 Mar 2024 03:22
Export record
Contributors
Author:
James Grant-Jacob
Author:
Matthew Praeger
Author:
R.W. Eason
Author:
Benjamin Mills
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics