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Drift effects on W7-X divertor heat and particle fluxes

Plasma physics and controlled fusion, 2019-10, Vol.61 (12), p.125001

2019

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A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET

Nuclear fusion, 2021-03, Vol.61 (3), p.36013

2021

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Improvements in disruption prediction at ASDEX Upgrade

Fusion engineering and design, 2015-10, Vol.96-97, p.698-702

2015

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Towards an automatic filament detector with a Faster R-CNN on MAST-U

Fusion engineering and design, 2019-09, Vol.146, p.374-377

2019

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An adaptive real-time disruption predictor for ASDEX Upgrade

Nuclear fusion, 2010-07, Vol.50 (7), p.075004-075004

2010

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Large wetted areas of divertor power loads at Wendelstein 7-X

Nuclear fusion, 2020-08, Vol.60 (8), p.84003

2020

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Automatic disruption classification in JET with the ITER-like wall

Plasma physics and controlled fusion, 2015-12, Vol.57 (12), p.125003

2015

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Overview of manifold learning techniques for the investigation of disruptions on JET

Plasma physics and controlled fusion, 2014-11, Vol.56 (11), p.114005-14

2014

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Features of near and far scrape-off layer heat fluxes on the Wendelstein 7-X inboard limiters

Nuclear fusion, 2020-01, Vol.60 (1), p.16014

2020

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Automatic disruption classification based on manifold learning for real-time applications on JET

Nuclear fusion, 2013-09, Vol.53 (9), p.93023-11

2013

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Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X

Nuclear materials and energy, 2023-03, Vol.34, p.101401, Article 101401

2023

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Extensive statistical analysis of ELMs on JET with a carbon wall

Plasma physics and controlled fusion, 2014-11, Vol.56 (11), p.114007-26

2014

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Disruption prediction with adaptive neural networks for ASDEX Upgrade

Fusion engineering and design, 2011-10, Vol.86 (6), p.1039-1044

2011

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Disruption forecasting at JET using neural networks

Nuclear fusion, 2004-01, Vol.44 (1), p.68-76

2004

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Observation of thermal events on the plasma facing components of Wendelstein 7-X

Journal of instrumentation, 2019, Vol.14 (11), p.C11002-C11002

2019

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Manifold learning to interpret JET high-dimensional operational space

Plasma physics and controlled fusion, 2013-04, Vol.55 (4), p.45006-11

2013

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A prediction tool for real-time application in the disruption protection system at JET

Nuclear fusion, 2007-11, Vol.47 (11), p.1559-1569

2007

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Multivariate statistical models for disruption prediction at ASDEX Upgrade

Fusion engineering and design, 2013-10, Vol.88 (6-8), p.1297-1301

2013

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Initial results from the hotspot detection scheme for protection of plasma facing components in Wendelstein 7-X

Nuclear materials and energy, 2019-05, Vol.19 (C), p.335-339

2019

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Mapping of the ASDEX Upgrade Operational Space for Disruption Prediction

IEEE transactions on plasma science, 2012-03, Vol.40 (3), p.570-576

2012

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IEEE_Xplore

River flow forecast for reservoir management through neural networks

Neurocomputing (Amsterdam), 2003-10, Vol.55 (3), p.421-437

2003

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Algorithms for the Automatic Identification of MARFEs and UFOs in JET Database of Visible Camera Videos

IEEE transactions on plasma science, 2010-12, Vol.38 (12), p.3409-3418

2010

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IEEE_Xplore

Tracking of the plasma states in a nuclear fusion device using SOMs

Neural computing & applications, 2011-09, Vol.20 (6), p.851-863

2011

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Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles

Nuclear fusion, 2022-06, Vol.62 (6), p.66005

2022

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CNN disruption predictor at JET: Early versus late data fusion approach

Fusion engineering and design, 2023-08, Vol.193, p.113668, Article 113668

2023

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Drift effects on W7-X divertor heat and particle fluxes

A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET

Improvements in disruption prediction at ASDEX Upgrade

Towards an automatic filament detector with a Faster R-CNN on MAST-U

An adaptive real-time disruption predictor for ASDEX Upgrade

Large wetted areas of divertor power loads at Wendelstein 7-X

Automatic disruption classification in JET with the ITER-like wall

Overview of manifold learning techniques for the investigation of disruptions on JET

Features of near and far scrape-off layer heat fluxes on the Wendelstein 7-X inboard limiters

Automatic disruption classification based on manifold learning for real-time applications on JET

Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X

Extensive statistical analysis of ELMs on JET with a carbon wall

Disruption prediction with adaptive neural networks for ASDEX Upgrade

Disruption forecasting at JET using neural networks

Observation of thermal events on the plasma facing components of Wendelstein 7-X

Manifold learning to interpret JET high-dimensional operational space

A prediction tool for real-time application in the disruption protection system at JET

Multivariate statistical models for disruption prediction at ASDEX Upgrade

Initial results from the hotspot detection scheme for protection of plasma facing components in Wendelstein 7-X

Mapping of the ASDEX Upgrade Operational Space for Disruption Prediction

River flow forecast for reservoir management through neural networks

Algorithms for the Automatic Identification of MARFEs and UFOs in JET Database of Visible Camera Videos

Tracking of the plasma states in a nuclear fusion device using SOMs

Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles

CNN disruption predictor at JET: Early versus late data fusion approach

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