| Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning B Cannas, A Fanni, L See, G Sias Physics and Chemistry of the Earth, Parts A/B/C 31 (18), 1164-1171, 2006 | 323 | 2006 |
| Overview of the JET results in support to ITER X Litaudon, S Abduallev, M Abhangi, P Abreu, M Afzal, KM Aggarwal, ... Nuclear Fusion 57 (10), 102001, 2017 | 200 | 2017 |
| Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall E Joffrin, S Abduallev, M Abhangi, P Abreu, V Afanasev, M Afzal, ... Nuclear Fusion 59 (11), 112021, 2019 | 138 | 2019 |
| River flow forecast for reservoir management through neural networks R Baratti, B Cannas, A Fanni, M Pintus, GM Sechi, N Toreno Neurocomputing 55 (3-4), 421-437, 2003 | 126 | 2003 |
| Disruption forecasting at JET using neural networks B Cannas, A Fanni, E Marongiu, P Sonato Nuclear fusion 44 (1), 68, 2003 | 119 | 2003 |
| Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating YO Kazakov, J Ongena, JC Wright, SJ Wukitch, E Lerche, MJ Mantsinen, ... Nature Physics 13 (10), 973-978, 2017 | 116 | 2017 |
| River flow forecasting using neural networks and wavelet analysis B Cannas, A Fanni, G Sias, S Tronci, MK Zedda Geophys. Res. Abstr 7, 08651, 2005 | 91 | 2005 |
| An adaptive real-time disruption predictor for ASDEX Upgrade B Cannas, A Fanni, G Pautasso, G Sias, P Sonato Nuclear Fusion 50 (7), 075004, 2010 | 87 | 2010 |
| A prediction tool for real-time application in the disruption protection system at JET B Cannas, A Fanni, P Sonato, MK Zedda, Jet-Efda Contributors Nuclear Fusion 47 (11), 1559, 2007 | 87 | 2007 |
| Overview of JET results for optimising ITER operation J Mailloux, N Abid, K Abraham, P Abreu, O Adabonyan, P Adrich, ... Nuclear fusion 62 (4), 042026, 2022 | 85 | 2022 |
| Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution a H Meyer, T Eich, M Beurskens, S Coda, A Hakola, P Martin, J Adamek, ... Nuclear fusion 57 (10), 102014, 2017 | 83 | 2017 |
| A Tabu Search algorithm for the optimisation of telecommunication networks E Costamagna, A Fanni, G Giacinto European Journal of Operational Research 106 (2-3), 357-372, 1998 | 61 | 1998 |
| A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET A Pau, A Fanni, S Carcangiu, B Cannas, G Sias, A Murari, F Rimini Nuclear Fusion 59 (10), 106017, 2019 | 57 | 2019 |
| Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade B Labit, T Eich, GF Harrer, E Wolfrum, M Bernert, MG Dunne, L Frassinetti, ... Nuclear fusion 59 (8), 086020, 2019 | 54 | 2019 |
| A first analysis of JET plasma profile-based indicators for disruption prediction and avoidance A Pau, A Fanni, B Cannas, S Carcangiu, G Pisano, G Sias, P Sparapani, ... IEEE Transactions on Plasma Science 46 (7), 2691-2698, 2018 | 48 | 2018 |
| Neural network-based analog fault diagnosis using testability analysis B Cannas, A Fanni, S Manetti, A Montisci, MC Piccirilli Neural Computing & Applications 13, 288-298, 2004 | 47 | 2004 |
| High fusion performance at high Ti/Te in JET-ILW baseline plasmas with high NBI heating power and low gas puffing HT Kim, ACC Sips, M Romanelli, CD Challis, F Rimini, L Garzotti, ... Nuclear Fusion 58 (3), 036020, 2018 | 45 | 2018 |
| 14 MeV calibration of JET neutron detectors—phase 1: calibration and characterization of the neutron source P Batistoni, S Popovichev, A Cufar, Z Ghani, L Giacomelli, S Jednorog, ... Nuclear Fusion 58 (2), 026012, 2017 | 44 | 2017 |
| Support vector machines for disruption prediction and novelty detection at JET B Cannas, RS Delogu, A Fanni, P Sonato, MK Zedda, ... Fusion engineering and design 82 (5-14), 1124-1130, 2007 | 44 | 2007 |
| An automatic optical inspection system for the diagnosis of printed circuits based on neural networks AN Belbachir, M Lera, A Fanni, A Montisci Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry …, 2005 | 44 | 2005 |
