Self-supervised and few-shot learning for robust bioaerosol monitoring
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Real-time bioaerosol monitoring is improving the quality of life for people affected by allergies, but it often relies on deep learning models which pose challenges for widespread adoption. These models are typically trained in a supervised fashion and require... ...
