📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

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