A. Fanni

A. Fanni, E. Costamagna, 1996, Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96).

Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution

Massimiliano Mattei, Alfredo Pironti, G. Pucella, 2016 .

EFDA – JET – PR ( 02 ) 06 Disruption Forecasting at JET Using Neural Networks

B. Cannas, A. Fanni, P. Sonato, 2003 .

Overview of the JET results in support to ITER

S. Lanthaler, Massimiliano Mattei, Alfredo Pironti, 2017, Nuclear Fusion.

Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

Jessie R. Balbin, A. L. Esquisabel, Z. Vizvary, 2022, Nature Physics.

Novel method for determination of tritium depth profiles in metallic samples

H. T. Kim, J. K. Blackburn, B. B. Carvalho, 2019, Nuclear Fusion.

Neutral pathways and heat flux widths in vertical- and horizontal-target EDGE2D-EIRENE simulations of JET

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018, Nuclear Fusion.

Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall

S. Lanthaler, R. J. Smith, P. Arena, 2019, Nuclear Fusion.

A Neural Networks Inversion-Based Algorithm for Multiobjective Design of a High-Field Superconducting Dipole Magnet

A. Fanni, A. Montisci, F. Cau, 2007, IEEE Transactions on Magnetics.

Performance Assessment of an Aeolian Roof for the Exploitation of Wind Power in Urban Areas

A. Fanni, S. Carcangiu, A. Montisci, 2012 .

Determination of isotope ratio in the divertor of JET-ILW by high-resolution Hα spectroscopy: H–D experiment and implications for D–T experiment

Sandeep Kumar Pathak, Rohde, Bobkov, 2019, Nuclear Fusion.

Energetic ion losses ‘channeling’ mechanism and strategy for mitigation

H. T. Kim, J. K. Blackburn, B. B. Carvalho, 2019, Plasma Physics and Controlled Fusion.

Tabu search coupled with deterministic strategies for the optimal design of MRI devices

Michele Marchesi, Giorgio Giacinto, Alessandra Fanni, 1996 .

Population modelling of the He II energy levels in tokamak plasmas: I. Collisional excitation model

Rohde, Bobkov, H. T. Kim, 2019, Journal of Physics B: Atomic, Molecular and Optical Physics.

Inter-machine plasma perturbation studies in EU-DEMO-relevant scenarios: lessons learnt for prediction of EM forces during VDEs

B. Cannas, A. Fanni, G. Sias, 2022, Nuclear Fusion.

Optimal Design of an Inductive MHD Electric Generator

A. Fanni, S. Carcangiu, A. Montisci, 2022, Sustainability.

TLD calibration for neutron fluence measurements at JET fusion facility

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Discrete event representation of qualitative models using Petri nets

Alessandro Giua, Alessandra Fanni, A. Fanni, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Nonlinear dynamic analysis of Dα signals for type I edge localized modes characterization on JET with a carbon wall

A. Murari, Alessandra Fanni, Jet Contributors, 2018 .

Extensive statistical analysis of ELMs on JET with a carbon wall

Michela Gelfusa, Fabio Pisano, Alessandra Fanni, 2014 .

Overview of JET results for optimising ITER operation

Jessie R. Balbin, A. L. Esquisabel, L. Fortuna, 2022, Nuclear Fusion.

A locked mode indicator for disruption prediction on JET and ASDEX upgrade

Henrik Sjöstrand, Matthias Weiszflog, Marco Cecconello, 2019, Fusion Engineering and Design.

An example of a new approach for the development of Disruption Protection Tools for JET: the mode-lock disruption class

F. Sartori, A. Fanni, D. Testa, 2007 .

Geometrical synthesis of MLP neural networks

Augusto Montisci, Alessandra Fanni, Rita Sabrina Delogu, 2008, Neurocomputing.

Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning

Linda See, Alessandra Fanni, Barbara Cannas, 2006 .

Comparison of Multi-Objective Optimisation Approaches for Inverse Magnestostatic Problems

M. E. Mognaschi, Sara Carcangiu, Augusto Montisci, 2007 .

Genetic algorithms for telecommunication network optimization

G. Celli, Alessandra Fanni, E. Costamagna, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Multi-Objective Optimization Methods Based on Artificial Neural Networks

Sara Carcangiu, Augusto Montisci, Alessandra Fanni, 2011 .

Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy

Fabio Pisano, César Alexandre Teixeira, Alessandra Fanni, 2020, Complex..

Application of self-organizing map to identify nocturnal epileptic seizures

César Alexandre Teixeira, Alessandra Fanni, António Dourado, 2017, Neural Computing and Applications.

Disruption prediction with adaptive neural networks for ASDEX Upgrade

Alessandra Fanni, G. Pautasso, Barbara Cannas, 2011 .

A prediction tool for real-time application in the disruption protection system at JET

Piergiorgio Sonato, Alessandra Fanni, Barbara Cannas, 2007 .

Support Vector Machines for disruption prediction and novelty detection at JET

Piergiorgio Sonato, Alessandra Fanni, Barbara Cannas, 2007 .

Geometrical Kernel Machine for Prediction and Novelty Detection of Disruptive Events in TOKAMAK Machines

Augusto Montisci, Piergiorgio Sonato, Alessandra Fanni, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Novelty Detection for On-Line Disr uption Pr ediction Systems

Piergiorgio Sonato, Alessandra Fanni, Barbara Cannas, 2005 .

Test of electrical resistivity and current diffusion modelling on MAST and JET

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2017 .

Forecasting-Aided Monitoring for the Distribution System State Estimation

Paolo Attilio Pegoraro, Sara Carcangiu, Sara Sulis, 2020, Complex..

Divertor currents optimization procedure for JET-ILW high flux expansion experiments

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018 .

Ultrasonic testing of masonry structures by features extraction and Self-Organising Maps

Sara Carcangiu, Alessandra Fanni, Augusto Montisci, 2013 .

Overview of manifold learning techniques for the investigation of disruptions on JET

Jet Efda Contributors, Alessandra Fanni, Barbara Cannas, 2013 .

Manifold learning to interpret JET high-dimensional operational space

A. Fanni, Andrea Murari, Barbara Cannas, 2013 .

Thermal desorption spectrometry of beryllium plasma facing tiles exposed in the JET tokamak

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018, Fusion Engineering and Design.

A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance

A. Murari, G. Pisano, A. Fanni, 2018, IEEE Transactions on Plasma Science.

A tool to support the construction of reliable disruption databases

A. Murari, Alessandra Fanni, M. Baruzzo, 2017 .

Artificial neural networks for non-destructive evaluation with ultrasonic waves in not accessible pipes

P. Testoni, A. Fanni, M. Usai, 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

Neural NDT by means of reflected longitudinal and torsional waves modes in long and inaccessible pipes

Augusto Montisci, Alessandra Fanni, Barbara Cannas, 2005 .

Global scaling of the heat transport in fusion plasmas

H. T. Kim, B. B. Carvalho, P. A. Simmons, 2019, Physical Review Research.

River flow forecasting using neural networks and wavelet analysis

Alessandra Fanni, Barbara Cannas, Stefania Tronci, 2005 .

Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors

Fabio Pisano, Sara Carcangiu, Augusto Montisci, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles

B. Cannas, A. Fanni, G. Sias, 2022, Nuclear Fusion.

Performance Comparison of Machine Learning Disruption Predictors at JET

B. Cannas, A. Fanni, G. Sias, 2023, Applied Sciences.

Disruption prediction with artificial intelligence techniques in tokamak plasmas

Jessie R. Balbin, A. L. Esquisabel, R. A. Tinguely, 2022, Nature Physics.

A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET

Sara Carcangiu, Alessandra Fanni, Barbara Cannas, 2020 .

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Henrik Sjöstrand, Matthias Weiszflog, Marco Cecconello, 2019, Nuclear Fusion.

CNN disruption predictor at JET: Early versus late data fusion approach

B. Cannas, A. Fanni, G. Sias, 2023, Fusion Engineering and Design.

Disruption forecasting at JET using neural networks

Alessandra Fanni, P. Sonato, E. Marongiu, 2002 .

Towards an automatic filament detector with a Faster R-CNN on MAST-U

Fabio Pisano, Sara Carcangiu, Augusto Montisci, 2019, Fusion Engineering and Design.

Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X

B. Cannas, A. Fanni, G. Sias, 2023, Nuclear Materials and Energy.

Automatic disruption classification at JET: comparison of different pattern recognition techniques

Piergiorgio Sonato, Alessandra Fanni, Barbara Cannas, 2006 .

A neural inverse problem approach for optimal design

Augusto Montisci, Alessandra Fanni, A. Fanni, 2003 .

Decision trees for early prediction of inadequate immune response to coronavirus infections: a pilot study on COVID-19

B. Cannas, A. Fanni, A. Perra, 2023, Frontiers in medicine.

Automatic disruption classification based on manifold learning for real-time applications on JET

Jet Efda Contributors, Alessandra Fanni, Barbara Cannas, 2013 .

Improvements in disruption prediction at ASDEX Upgrade

Barbara Cannas, R. Aledda, Giuliana Sias, 2015 .

Selection of Features Based on Electric Power Quantities for Non-Intrusive Load Monitoring

Sara Carcangiu, Carlo Muscas, Alessandra Fanni, 2021 .

Neural network-based analog fault diagnosis using testability analysis

Augusto Montisci, Stefano Manetti, Maria Cristina Piccirilli, 2004, Neural Computing & Applications.

River flow forecast for reservoir management through neural networks

Roberto Baratti, Alessandra Fanni, Barbara Cannas, 2003, Neurocomputing.

Optimization of a Power Line Communication System to Manage Electric Vehicle Charging Stations in a Smart Grid

Sara Carcangiu, Alessandra Fanni, Augusto Montisci, 2019, Energies.

isruption prediction with adaptive neural networks for ASDEX Upgrade

B. Cannas, A. Fanni, G. Pautasso, 2011 .

Multiobjective tabu search algorithm for the optimal design of a thermo-acoustic magneto-hydro-dynamic electric generator

Sara Carcangiu, Augusto Montisci, Alessandra Fanni, 2017 .

Decision trees to evaluate the risk of developing multiple sclerosis

B. Cannas, A. Fanni, F. Pisano, 2023, Frontiers Neuroinformatics.

Non-Intrusive Loads Monitoring Techniques for House Energy Management

Carlo Muscas, Sara Carcangiu, Alessandra Fanni, 2019, 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED).

Computing capacitances via the Schwarz-Christoffel transformation in structures with rotational symmetry

Eugenio Costamagna, A. Fanni, A. Fanni, 1998 .

Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks

A. Murari, Jet Contributors, A. Fanni, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

Mapping of the ASDEX Upgrade Operational Space for Disruption Prediction

G. Pautasso, R. Aledda, A. Fanni, 2011, IEEE Transactions on Plasma Science.

A greedy genetic algorithm for continuous variables electromagnetic optimization problems

Michele Marchesi, Alessandra Fanni, A. Serri, 1997 .

Linear programming models for traffic engineering in 100% survivable networks under combined IS-IS/OSPF and MPLS-TE

Maria Grazia Scutellà, Antonio Frangioni, D. Cherubini, 2011, Comput. Oper. Res..

Primary and backup paths optimal design for traffic engineering in hybrid IGP/MPLS networks

Antonio Frangioni, Alessandra Fanni, Anna Mereu, 2009, 2009 7th International Workshop on Design of Reliable Communication Networks.

A new approach to digital FIR filter design using the Tabu Search

Ahmed Nabil Belbachir, Alessandra Fanni, M. F. Belbachir, 2000 .

Automatic optical inspection system for the diagnosis of printed circuits based on neural networks

A. Fanni, A. Montisci, M. Lera, 2005 .

Automated Recurrent Neural Network Design of a Neural Controller in a Custom Power Device

Fabrizio Pilo, Gianni Celli, Alessandra Fanni, 2001, J. Intell. Robotic Syst..

Performance analysis of locally recurrent neural networks

Fabrizio Giulio Luca Pilo, Michele Marchesi, Alessandra Fanni, 1998 .

Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign

Sandeep Kumar Pathak, Rohde, Bobkov, 2019, Nuclear Materials and Energy.