📣 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.

Comparison of Methods to Segment Variable-Contrast XCT Images of Methane-Bearing Sand Using U-Nets Trained on Single Dataset Sub-Volumes (2022)

First Author: Alvarez-Borges F

Attributed to: Will climate change in the Arctic increase the landslide-tsunami risk to the UK? funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/methane2010001

Publication URI: http://dx.doi.org/10.3390/methane2010001

Type: Journal Article/Review

Parent Publication: Methane

Issue: 1