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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 10, 695-708, 2017
http://www.atmos-meas-tech.net/10/695/2017/
doi: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
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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Short summary
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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