📣 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.

Novelty detection for time series data analysis in water distribution systems using support vector machines (2011)

First Author: Mounce S

Attributed to: Pipe Dreams funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.2166/hydro.2010.144

Publication URI: http://dx.doi.org/10.2166/hydro.2010.144

Type: Journal Article/Review

Parent Publication: Journal of Hydroinformatics

Issue: 4