📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Predicting heterotrophic plate count exceedance in tap water: A binary classification model supervised by culture-independent data. (2023)

First Author: Park JW
Attributed to:  To Chlorinate or Not to Chlorinate funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.watres.2023.120172

PubMed Identifier: 37307683

Publication URI: http://europepmc.org/abstract/MED/37307683

Type: Journal Article/Review

Volume: 242

Parent Publication: Water research

ISSN: 0043-1354