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

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

Characterisation of bioaerosols has important implications within environment and public health sectors. Recent developments in ultraviolet light-induced fluorescence (UV-LIF) detectors such as the Wideband Integrated Bioaerosol Spectrometer (WIBS) and the newly introduced Multiparameter Bioaerosol...

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Bibliographic Details
Main Authors: S. Ruske, D. O. Topping, V. E. Foot, P. H. Kaye, W. R. Stanley, I. Crawford, A. P. Morse, M. W. Gallagher
Format: Article
Language:English
Published: Copernicus Publications 2017-03-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/10/695/2017/amt-10-695-2017.pdf

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