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Interpolation of Continuous Plankton Recorder data using a neural network technique
Troupin, Charles; Barth, Alexander; Pierre Hélaouët
2024In MISCELLANEA INGV, 80
Peer reviewed
 

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Keywords :
Data interpolation; DINCAE; Artificial intelligence; Continuous Plankton Recorder; Julia; Neural network
Research Center/Unit :
FOCUS - Freshwater and OCeanic science Unit of reSearch - ULiège [BE]
Disciplines :
Earth sciences & physical geography
Author, co-author :
Troupin, Charles  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) ; Université de Liège - ULiège > Freshwater and OCeanic science Unit of reSearch (FOCUS)
Barth, Alexander  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) ; Université de Liège - ULiège > Freshwater and OCeanic science Unit of reSearch (FOCUS)
Pierre Hélaouët;  The Marine Biological Association > The Laboratory
Language :
English
Title :
Interpolation of Continuous Plankton Recorder data using a neural network technique
Publication date :
May 2024
Event name :
International Conference on Marine Data and Information Systems
Event organizer :
French Research Institute for Exploitation of the Sea (IFREMER), France
Institute of Marine Research, Norway
Event place :
Bergen, Norway
Event date :
27-29 May 2024
Event number :
8th
By request :
Yes
Audience :
International
Journal title :
MISCELLANEA INGV
ISSN :
2039-6651
Publisher :
INGV, Italy
Special issue title :
International Conference on Marine Data and Information Systems
Volume :
80
Peer reviewed :
Peer reviewed
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Development Goals :
13. Climate action
Name of the research project :
iCPR
Available on ORBi :
since 29 May 2024

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