📣 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.

Machine learning for non-experts: A more accessible and simpler approach to automatic benthic habitat classification (2024)

First Author: Game C

Attributed to: Future Colour Imaging funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ecoinf.2024.102619

Publication URI: http://dx.doi.org/10.1016/j.ecoinf.2024.102619

Type: Journal Article/Review

Parent Publication: Ecological Informatics

ISSN: 1574-9541