Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health

Academic paper

Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health. In this study, the prediction accuracy is improved by sign-constrained linear regression, a new statistical approach.

Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets
Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-suke Kadoya, Satoshi Okabe, Naoya Ohta, Mohan Amarasiri, Daisuke Sano
Journal of Water and Health, accepted.

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A review paper by Amarasiri and Sano has been accepted by Viruses.
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Special lecture presented by Sital Uprety from University of Illinois, Urbana Champaign

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