📣 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.

Privacy-preserving & machine-learned catchment models for national dietary surveillance via digital footprint data (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/bigdata55660.2022.10020629

Publication URI: http://dx.doi.org/10.1109/bigdata55660.2022.10020629

Type: Conference/Paper/Proceeding/Abstract