Journal article 843 views
Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data
L. Jeantet,
F. Dell'Amico,
M.-A. Forin-Wiart,
M. Coutant,
M. Bonola,
D. Etienne,
J. Gresser,
S. Regis,
N. Lecerf,
F. Lefebvre,
B. de Thoisy,
Y. Le Maho,
M. Brucker,
N. Châtelain,
R. Laesser,
F. Crenner,
Y. Handrich,
R. Wilson,
D. Chevallier,
Rory Wilson 
The Journal of Experimental Biology, Volume: 221, Issue: 10, Start page: jeb177378
Swansea University Author:
Rory Wilson
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1242/jeb.177378
Abstract
Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data
| Published in: | The Journal of Experimental Biology |
|---|---|
| ISSN: | 0022-0949 1477-9145 |
| Published: |
2018
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa40638 |
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| College: |
Faculty of Science and Engineering |
|---|---|
| Issue: |
10 |
| Start Page: |
jeb177378 |