Machine-learning-based classification model for pollen recognition using Rapid-E+ measurements

DOI

The code used to create, train, and validate the machine-learning-based classification model for pollen recognition using Rapid-E+ measurements. This model is published as part of the paper by Sikoparija et al. (2024), available at https://doi.org/10.5194/egusphere-2024-187. The training dataset is available at http://lake.fmi.fi/rapid-e-plus-training/index.html.

Identifier
DOI	https://doi.org/10.23728/b2share.31adb0e9a5bf408db47dac1721b57bfa
Source	https://b2share.eudat.eu/records/31adb0e9a5bf408db47dac1721b57bfa
Metadata Access	https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/31adb0e9a5bf408db47dac1721b57bfa

Provenance
Creator	Predrag Matavulj
Publisher	EUDAT B2SHARE
Publication Year	2024
Rights	GNU General Public License 3 (GPL-3.0); info:eu-repo/semantics/openAccess
OpenAccess	true
Contact	predrag.matavulj(at)fhnw.ch; evgeny.kadantsev(at)fmi.fi

Representation
Format	zip
Size	193.0 MB; 1 file
Discipline	4.1.17.1.2.1 → Machine learning → Artificial neural network