E-LIB Suche - Ergebnisse für: Sias, G

1

MHD spectrogram contribution to disruption prediction using..:

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

Link: https://doi.org/10.1016/..

2

White noise characterization and thermo-mechanical analysis..:

Lacquaniti, M. ; Sias, G. ; Fanni, A....
Fusion Engineering and Design. 192 (2023) - p. 113775 , 2023

Link: https://doi.org/10.1016/..

3

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

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

Link: https://doi.org/10.1016/..

4

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

Link: https://doi.org/10.1016/..

5

Inter-machine plasma perturbation studies in EU-DEMO-releva..:

Sias, G. ; Minucci, S. ; Lacquaniti, M....
Nuclear Fusion. 62 (2022) 7 - p. 076004 , 2022

Link: https://doi.org/10.1088/..

6

Disruption prediction at JET through deep convolutional neu..:

Aymerich, E. ; Sias, G. ; Pisano, F....
Nuclear Fusion. 62 (2022) 6 - p. 066005 , 2022

Link: https://doi.org/10.1088/..

7

Forecasting-Aided Monitoring for the Distribution System St..:

Carcangiu, S. ; Fanni, A. ; Pegoraro, P. A...
Complexity. 2020 (2020) - p. 1-15 , 2020

Link: https://doi.org/10.1155/..

8

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

Link: https://doi.org/10.1016/..

9

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

Link: https://doi.org/10.1016/..

10

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

Link: https://doi.org/10.1109/..

11

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

Link: https://doi.org/10.1016/..

12

Electromagnetic Fields Associated with Commercial Solar Pho..:

Tell, R. A. ; Hooper, H. C. ; Sias, G. G....
Journal of Occupational and Environmental Hygiene. 12 (2015) 11 - p. 795-803 , 2015

Link: https://doi.org/10.1080/..

13

Improvements in disruption prediction at ASDEX Upgrade:

Aledda, R. ; Cannas, B. ; Fanni, A...
Fusion Engineering and Design. 96-97 (2015) - p. 698-702 , 2015

Link: https://doi.org/10.1016/..

14

Multivariate statistical models for disruption prediction a..:

Aledda, R. ; Cannas, B. ; Fanni, A...
Fusion Engineering and Design. 88 (2013) 6-8 - p. 1297-1301 , 2013

Link: https://doi.org/10.1016/..

15

ELF magnetic fields in electric and gasoline‐powered vehicl..:

Tell, R.A. ; Sias, G. ; Smith, J...
Bioelectromagnetics. 34 (2012) 2 - p. 156-161 , 2012

Link: https://doi.org/10.1002/..