Machine learning
Showing all 8 results
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Summary report of the 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA)
Gonzales de Vicente S.M.; Mazon D.; Xu M.; Pinches S.; Churchill M.; Dinklage A.; Fischer R.; Murari A.; Rodriguez-Fernandez P.; Stillerman J.; Vega J.; Verdoolaege G. -
Performance Comparison of Machine Learning Disruption Predictors at JET
Aymerich E.; Cannas B.; Pisano F.; Sias G.; Sozzi C.; Stuart C.; Carvalho P.; Fanni A. -
Deep Learning for the Analysis of Disruption Precursors Based on Plasma Tomography
Ferreira, Diogo R.; Carvalho, Pedro J.; Sozzi, Carlo; Lomas, Peter J. -
A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET
Aymerich, E.; Fanni, A.; Sias, G.; Carcangiu, S.; Cannas, B.; Murari, A.; Pau, A.; JET Contributors -
Summary report of the 3rd IAEA technical meeting on fusion data processing validation and analysis (FDPVA)
Mazon D.; De Vicente S.M.G.; Churchill M.; Dinklage A.; Fischer R.; Jakubowski M.; Murari A.; Romanelli M.; Vega J.; Verdoolaege G.; Xu M. -
Evaluation of rice varieties using LIBS and FTIR techniques associated with PCA and machine learning algorithms
Ribeiro, Matheus C. S.; Senesi, Giorgio S.; Cabral, Jader S.; Cena, Cicero; Marangoni, Bruno S.; Kiefer, Charles; Nicolodelli, Gustavo -
Macro-classification of meteorites by portable energy dispersive X-ray fluorescence spectroscopy (pED-XRF), principal component analysis (PCA) and machine learning algorithms
Allegretta, Ignazio; Marangoni, Bruno; Manzari, Paola; Porfido, Carlo; Terzano, Roberto; De Pascale, Olga; Senesi, Giorgio S. -
A Syncretic Approach to Knowledge Discovery for the Natural Sciences
Murari A.; Peluso E.; Lungaroni M.; Gaudio P.; Gelfusa M.; JET Contributors