Predicting resistive wall mode stability in NSTX through balanced random forests and counterfactual explanations (2022)

First Author: Piccione A
Attributed to:  Deep Learning from Crawled Spatio-Temporal Representations of Video (DECSTER) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/1741-4326/ac44af

Publication URI: http://dx.doi.org/10.1088/1741-4326/ac44af

Type: Journal Article/Review

Parent Publication: Nuclear Fusion

Issue: 3