Abstract
The classification of CBE hazards is commonly not best performing if based on laser-induced fluorescence. Improving the technology by recording spectral and temporal fluorescence emission a significant gain of information can be achieved. Machine learning algorithms show a major contribution of temporal fluorescence data to the classification of biological agents.
© 2018 The Author(s)
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