Evaluation of Machine Learning Algorithms for Classification of Primary Biological Aerosol using a new UV-LIF spectrometer

Morse, AP (2016) Evaluation of Machine Learning Algorithms for Classification of Primary Biological Aerosol using a new UV-LIF spectrometer. Atmospheric Measurement Techniques. ISSN 1867-1381

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Item Type:	Article
Additional Information:	This paper is in public online review -- there does not seem to be a category of submission and review?
Depositing User:	Symplectic Admin
Date Deposited:	15 Feb 2017 11:04
Last Modified:	19 Jan 2023 07:19
DOI:	10.5194/amt-2016-214
Open Access URL:	http://www.atmos-meas-tech-discuss.net/amt-2016-21...
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3005795

Available Versions of this Item

• Evaluation of Machine Learning Algorithms for Classification of Primary Biological Aerosol using a new UV-LIF spectrometer. (deposited 16 Nov 2016 10:41)
  • Evaluation of Machine Learning Algorithms for Classification of Primary Biological Aerosol using a new UV-LIF spectrometer. (deposited 15 Feb 2017 11:04) [Currently Displayed]
    • Evaluation of machine learning algorithms for classification of primary biological aerosol using a new UV-LIF spectrometer. (deposited 03 Mar 2017 11:46)