S. Carcangiu

发表

Multiobjective Tabu Search Algorithms for Optimal Design of Electromagnetic Devices

A. Fanni, S. Carcangiu, A. Montisci, 2008, IEEE Transactions on Magnetics.

TO SOLVE THE ELECTRIC CAPACITANCE TOMOGRAPHY INVERSE PROBLEM

S. Carcangiu, A. Montisci, 2016 .

A Strategy-Driven Algorithm for Multi-Objective Optimization Problems

Sara Carcangiu, Augusto Montisci, Alessandra Fanni, 2009 .

Feasibility analysis of a MHD inductive generator coupled with a thermo acoustic resonator

A. Alemany, S. Carcangiu, A. Montisci, 2015 .

Ion cyclotron resonance heating scenarios for DEMO

Rohde, Bobkov, H. T. Kim, 2019, Nuclear Fusion.

Deep neural networks for plasma tomography with applications to JET and COMPASS

S. Lanthaler, R. J. Smith, N. W. Eidietis, 2019, Journal of Instrumentation.

Multiphysics Analysis of a Thermo Acoustic MHD Inductive Generator

S. Carcangiu, A. Montisci, Renato Forcinetti, 2015 .

Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

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

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

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

Ultrasonics for the Diagnosis of a Trachite Stone Wall

S. Carcangiu, A. Montisci, Renato Forcinetti, 2015 .

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

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

Optimal Design of an Inductive MHD Electric Generator

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

Overview of JET results for optimising ITER operation

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

Comparison of Multi-Objective Optimisation Approaches for Inverse Magnestostatic Problems

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

Multi-Objective Optimization Methods Based on Artificial Neural Networks

Sara Carcangiu, Augusto Montisci, Alessandra Fanni, 2011 .

Forecasting-Aided Monitoring for the Distribution System State Estimation

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

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

Sara Carcangiu, Alessandra Fanni, Augusto Montisci, 2013 .

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.

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.

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.

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

Sara Carcangiu, Carlo Muscas, Alessandra Fanni, 2021 .

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.

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

Sara Carcangiu, Augusto Montisci, Alessandra Fanni, 2017 .

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).

Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks

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

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

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

A Training Algorithm for Locally Recurrent NN Based on Explicit Gradient of Error in Fault Detection Problems

Sara Carcangiu, Augusto Montisci, Patrizia Boi, 2012, EANN.