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Aerosol Science and Technology Volume 48, 2014 - Issue 4
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Original Articles

Using the WIBS-4 (Waveband Integrated Bioaerosol Sensor) Technique for the On-Line Detection of Pollen Grains

David J. O’Connor Department of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
,
David A. Healy Department of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
,
Stig Hellebust Department of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
,
Jeroen T. M. Buters ZAUM—Center of Allergy and Environment, Helmholtz Zentrum München/Technische, Universität München, Munich, Germany
&
John R. Sodeau Department of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
Pages 341-349 | Received 20 May 2013, Accepted 07 Sep 2013, Published online: 24 Feb 2014

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Predrag Matavulj, Marko Panić, Branko Šikoparija, Danijela Tešendić, Miloš Radovanović & Sanja Brdar. (2023) Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation. Applied Artificial Intelligence 37:1.
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Benjamin Swanson, Maxwell Freeman, Samir Rezgui & J. Alex Huffman. (2023) Pollen classification using a single particle fluorescence spectroscopy technique. Aerosol Science and Technology 57:2, pages 112-133.
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Jose María Maya-Manzano, Matt Smith, Emma Markey, Jerry Hourihane Clancy, John Sodeau & David J. O´Connor. (2021) Recent developments in monitoring and modelling airborne pollen, a review. Grana 60:1, pages 1-19.
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Benjamin E. Swanson & J. Alex Huffman. (2020) Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer. Aerosol Science and Technology 54:4, pages 426-445.
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