Bioaerosol sensing using deep learning
Bioaerosol sensing using deep learning
Grant-Jacob, James
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Xie, Yunhui
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MacKay, Benita, Scout
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McDonnell, Michael, David Tom
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Praeger, Matthew
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Loxham, Matthew
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Eason, Robert
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Mills, Benjamin
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9 September 2019
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Xie, Yunhui
f2c3b0e4-8650-4e04-80e5-04505f45bdd6
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
McDonnell, Michael, David Tom
bc7b6423-bd77-424d-81e7-4e5448e926cb
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Eason, Robert and Mills, Benjamin
(2019)
Bioaerosol sensing using deep learning.
IOP - Physics Meets Biology, United Kingdom.
08 - 11 Sep 2019.
Record type:
Conference or Workshop Item
(Poster)
Text
IOP_B_JAGJ_2019
- Accepted Manuscript
More information
Published date: 9 September 2019
Venue - Dates:
IOP - Physics Meets Biology, United Kingdom, 2019-09-08 - 2019-09-11
Identifiers
Local EPrints ID: 434088
URI: http://eprints.soton.ac.uk/id/eprint/434088
PURE UUID: 393cdc3d-48fa-462a-b1f5-a6e62da78b46
Catalogue record
Date deposited: 12 Sep 2019 16:30
Last modified: 17 Mar 2024 03:22
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