In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy
English 
Italiano 
anomaly detection
Showing all 4 results
-
Fusion engineering and design (Print) 190 pp. 113507-1 - 113507-5 Year: 2023 DOI: 10.1016/j.fusengdes.2023.113507
Detection of MARFEs using visible cameras for disruption prevention
Spolladore L.; Rossi R.; Wyss I.; Gaudio P.; Murari A.; Gelfusa M. -
Fusion engineering and design (Print) 193 pp. 113625-1 - 113625-6 Year: 2023 DOI: 10.1016/j.fusengdes.2023.113625
Comparison of a fast low spatial resolution inversion method and peaking factors for the detection of anomalous radiation patterns and disruption prediction
Wyss I.; Murari A.; Spolladore L.; Peluso E.; Gelfusa M.; Gaudio P.; Rossi R. -
Plasma physics and controlled fusion (Print) 64 (4), pp. 045002-1 - 045002-19 Year: 2022 DOI: 10.1088/1361-6587/ac4d3b
Development of robust indicators for the identification of electron temperature profile anomalies and application to JET
Rossi, Riccardo; Gelfusa, Michela; Flanagan, Joanne; Murari, Andrea -
Fusion science and technology 76 (8), pp. 901 - 911 Year: 2020 DOI: 10.1080/15361055.2020.1820749
Deep Learning for the Analysis of Disruption Precursors Based on Plasma Tomography
Ferreira, Diogo R.; Carvalho, Pedro J.; Sozzi, Carlo; Lomas, Peter J.
