Cannas, B
398  results:
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1

MHD spectrogram contribution to disruption prediction using..:

Aymerich, E. ; Sias, G. ; Atzeni, S....
Fusion Engineering and Design.  204 (2024)  - p. 114472 , 2024
 
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2

Physics Informed Neural Networks towards the real-time calc..:

Aymerich, E. ; Pisano, F. ; Cannas, B....
Nuclear Materials and Energy.  34 (2023)  - p. 101401 , 2023
 
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3

CNN disruption predictor at JET: Early versus late data fus..:

Aymerich, E. ; Sias, G. ; Pisano, F....
Fusion Engineering and Design.  193 (2023)  - p. 113668 , 2023
 
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6

A locked mode indicator for disruption prediction on JET an..:

Sias, G. ; Cannas, B. ; Fanni, A...
Fusion Engineering and Design.  138 (2019)  - p. 254-266 , 2019
 
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7

Initial results from the hotspot detection scheme for prote..:

Ali, A. ; Niemann, H. ; Jakubowski, M....
Nuclear Materials and Energy.  19 (2019)  - p. 335-339 , 2019
 
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8

Drift effects on W7-X divertor heat and particle fluxes:

Hammond, K C ; Gao, Y ; Jakubowski, M...
Plasma Physics and Controlled Fusion.  61 (2019)  12 - p. 125001 , 2019
 
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9

Disruption Prediction Approaches Using Machine Learning Too..:

, In: 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring),
Sias, G. ; Cannas, B. ; Carcangiu, S.... - p. 2880-2890 , 2019
 
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10

Observation of thermal events on the plasma facing componen..:

Sitjes, A. Puig ; Gao, Y. ; Jakubowski, M....
Journal of Instrumentation.  14 (2019)  11 - p. C11002-C11002 , 2019
 
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11

Towards an automatic filament detector with a Faster R-CNN ..:

Cannas, B. ; Carcangiu, S. ; Fanni, A....
Fusion Engineering and Design.  146 (2019)  - p. 374-377 , 2019
 
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13

A tool to support the construction of reliable disruption d..:

Pau, A. ; Cannas, B. ; Fanni, A....
Fusion Engineering and Design.  125 (2017)  - p. 139-153 , 2017
 
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14

Wendelstein 7-X Near Real-Time Image Diagnostic System for ..:

Puig Sitjes, A. ; Jakubowski, M. ; Ali, A....
Fusion Science and Technology.  74 (2017)  1-2 - p. 116-124 , 2017
 
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