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

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

Description

The code and training dataset used to create, train, and validate the machine-learning-based classification model for pollen recognition using Rapid-E+ measurements are 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.
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Year of publication

2024

Authors

Matavulj, Predrag - Creator

Other information

Fields of science

Computer and information sciences; Geosciences

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

INSPIRE theme: environment, Bioaerosols, Pollen recognition, Machine learning, Fluorescence measurements
Machine-learning-based classification model for pollen recognition using Rapid-E+ measurements - Research.fi