An EMG-based approach for on-line predicted torque control in robotic-assisted rehabilitation C Loconsole, S Dettori, A Frisoli, CA Avizzano, M Bergamasco 2014 IEEE Haptics Symposium (HAPTICS), 181-186, 2014 | 61 | 2014 |
Forecasting blast furnace gas production and demand through echo state neural network-based models: Pave the way to off-gas optimized management I Matino, S Dettori, V Colla, V Weber, S Salame Applied Energy 253, 113578, 2019 | 55 | 2019 |
An adaptive Fuzzy logic-based approach to PID control of steam turbines in solar applications S Dettori, V Iannino, V Colla, A Signorini Applied Energy 227, 655-664, 2018 | 51 | 2018 |
Renewable hydrogen production processes for the off-gas valorization in integrated steelworks through hydrogen intensified methane and methanol syntheses A Zaccara, A Petrucciani, I Matino, TA Branca, S Dettori, V Iannino, ... Metals 10 (11), 1535, 2020 | 39 | 2020 |
Two innovative modelling approaches in order to forecast consumption of blast furnace gas by hot blast stoves I Matino, S Dettori, V Colla, V Weber, S Salame Energy Procedia 158, 4043-4048, 2019 | 31 | 2019 |
Reservoir computing approaches applied to energy management in industry V Colla, I Matino, S Dettori, S Cateni, R Matino Engineering Applications of Neural Networks: 20th International Conference …, 2019 | 25 | 2019 |
Integration of renewable hydrogen production in steelworks off-gases for the synthesis of methanol and methane M Bampaou, K Panopoulos, P Seferlis, S Voutetakis, I Matino, ... Energies 14 (10), 2904, 2021 | 24 | 2021 |
A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace S Dettori, I Matino, V Colla, R Speets Neural Computing and Applications 34 (2), 911-923, 2022 | 23 | 2022 |
A fuzzy logic-based tuning approach of PID control for steam turbines for solar applications S Dettori, V Iannino, V Colla, A Signorini Energy Procedia 105, 480-485, 2017 | 23 | 2017 |
Assessing the efficiency of the off-gas network management in integrated steelworks V Colla, I Matino, S Dettori, A Petrucciani, A Zaccara, V Weber, S Salame, ... Materiaux & Techniques 107 (1), 104, 2019 | 21 | 2019 |
Neural network-based modeling methodologies for energy transformation equipment in integrated steelworks processes S Dettori, I Matino, V Colla, V Weber, S Salame Energy Procedia 158, 4061-4066, 2019 | 16 | 2019 |
Deep echo state networks in industrial applications S Dettori, I Matino, V Colla, R Speets Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 15 | 2020 |
Application of echo state neural networks to forecast blast furnace gas production: pave the way to off-gas optimized management I Matino, S Dettori, V Colla, V Weber, S Salame Energy Procedia 158, 4037-4042, 2019 | 14 | 2019 |
Valorizing steelworks gases by coupling novel methane and methanol synthesis reactors with an economic hybrid model predictive controller A Hauser, P Wolf-Zoellner, S Haag, S Dettori, X Tang, M Mighani, I Matino, ... Metals 12 (6), 1023, 2022 | 13 | 2022 |
Fuzzy adaptive genetic algorithm for improving the solution of industrial optimization problems M Vannucci, V Colla, S Dettori, V Iannino Journal of Intelligent Systems 29 (1), 409-422, 2019 | 13 | 2019 |
Steam Turbine models for monitoring purposes S Dettori, V Colla, G Salerno, A Signorini Energy Procedia 105, 524-529, 2017 | 12 | 2017 |
Economic evaluation of renewable hydrogen integration into steelworks for the production of methanol and methane M Bampaou, K Panopoulos, P Seferlis, A Sasiain, S Haag, ... Energies 15 (13), 4650, 2022 | 11 | 2022 |
A quadratic programming model for the optimization of off-gas networks in integrated steelworks A Maddaloni, R Matino, I Matino, S Dettori, A Zaccara, V Colla Matériaux & Techniques 107 (5), 502, 2019 | 11 | 2019 |
Nonlinear Model Predictive Control strategy for steam turbine rotor stress S Dettori, A Maddaloni, V Colla, O Toscanelli, F Bucciarelli, A Signorini, ... Energy procedia 158, 5653-5658, 2019 | 10 | 2019 |
Hydrogen role in the valorization of integrated steelworks process off-gases through methane and methanol syntheses I Matino, S Dettori, A Zaccara, A Petrucciani, V Iannino, V Colla, ... Matériaux & Techniques 109 (3-4), 308, 2021 | 9 | 2021 |