A disruption predictor based on a 1.5-dimensional convolutional neural network in HL-2A

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

(2019) Julian Kates-Harbeck et al.   NATURE

Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

(2018) Amin Ullah et al.   IEEE Access

Requirements for Triggering the ITER Disruption Mitigation System

(2016) P. C. de Vries et al.   FUSION SCIENCE AND TECHNOLOGY

Development of an efficient real-time disruption predictor from scratch on JET and implications for ITER

(2013) S. Dormido-Canto et al.   NUCLEAR FUSION

An advanced disruption predictor for JET tested in a simulated real-time environment

(2010) G.A. Rattá et al.   NUCLEAR FUSION

An adaptive real-time disruption predictor for ASDEX Upgrade

(2010) B. Cannas et al.   NUCLEAR FUSION