Advanced pulse shape discrimination via machine learning for applications in thermonuclear fusion
M. GelfusaDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyRiccardo RossiDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyM. LungaroniDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyF. BelliENEA, Fusion and Nuclear Safety Department, C.R. Frascati, Via E. Fermi 45, 00044 Frascati (Roma), ItalyL. SpolladoreDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyIvan WyssDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyP. GaudioDepartment of Industrial Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Roma, ItalyA. MurariConsorzio RFX (CNR, ENEA, INFN, Universita’ di Padova, Acciaierie Venete SpA), Corso Stati Uniti 4, 35127 Padova, Italy
2020en
ABI
Аннотация
Аннотация мавжуд эмас.
Идентификаторлар
Иқтибослар ва манбалар
2 та иқтибос0 та фойдаланилган манба