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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 2
Atmos. Meas. Tech., 10, 695–708, 2017
https://doi.org/10.5194/amt-10-695-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 695–708, 2017
https://doi.org/10.5194/amt-10-695-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Mar 2017

Research article | 03 Mar 2017

Evaluation of machine learning algorithms for classification of primary biological aerosol using a new UV-LIF spectrometer

Simon Ruske et al.

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Particles such as bacteria, pollen and fungal spores have important implications within the environment and public health sectors. Here we evaluate the performance of various different methods for distinguishing between these different types of particles using a new instrument. We demonstrate that there may be better alternatives to the currently used methods which can be further investigated in future research.
Particles such as bacteria, pollen and fungal spores have important implications within the...
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