| 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 | 125 | 2003 |
| Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network JF de Canete, P del Saz-Orozco, R Baratti, M Mulas, A Ruano, ... Expert Systems with Applications 63, 8-19, 2016 | 122 | 2016 |
| Development of a composition estimator for binary distillation columns. Application to a pilot plant R Baratti, A Bertucco, A Da Rold, M Morbidelli Chemical Engineering Science 50 (10), 1541-1550, 1995 | 79 | 1995 |
| Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant M Mulas, S Tronci, F Corona, H Haimi, P Lindell, M Heinonen, R Vahala, ... Journal of Process Control 35, 89-100, 2015 | 76 | 2015 |
| Monitoring pollutant emissions in a 4.8 MW power plant through neural network S Tronci, R Baratti, A Servida Neurocomputing 43 (1-4), 3-15, 2002 | 61 | 2002 |
| A composition estimator for multicomponent distillation columns—development and experimental test on ternary mixtures R Baratti, A Bertucco, A Da Rold, M Morbidelli Chemical Engineering Science 53 (20), 3601-3612, 1998 | 57 | 1998 |
| Neural network modeling of distillation columns R Baratti, G Vacca, A Servida Hydrocarbon Processing 74 (6), 1995 | 55 | 1995 |
| An extended Kalman filtering approach with a criterion to set its tuning parameters; application to a catalytic reactor G Leu, R Baratti Computers & Chemical Engineering 23 (11-12), 1839-1849, 2000 | 53 | 2000 |
| Catalytic converter design for minimisation of cold-start emissions S Tronci, R Baratti, A Gavriilidis Chemical Engineering Communications 173 (1), 53-77, 1999 | 52 | 1999 |
| CO2 capture by reactive absorption-stripping: modeling, analysis and design C Madeddu, M Errico, R Baratti Springer, 2018 | 46 | 2018 |
| Reconstruction of chaotic time series by neural models: a case study S Tronci, M Giona, R Baratti Neurocomputing 55 (3-4), 581-591, 2003 | 39 | 2003 |
| Process analysis for the carbon dioxide chemical absorption–regeneration system C Madeddu, M Errico, R Baratti Applied energy 215, 532-542, 2018 | 36 | 2018 |
| Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach JF de Canete, P del Saz-Orozco, J Gómez-de-Gabriel, R Baratti, A Ruano, ... Computers & Chemical Engineering 144, 107146, 2021 | 34 | 2021 |
| On the topological modeling and analysis of industrial process data using the SOM F Corona, M Mulas, R Baratti, JA Romagnoli Computers & Chemical Engineering 34 (12), 2022-2032, 2010 | 34 | 2010 |
| Monitoring of a CO oxidation reactor through a grey model-based EKF observer G Porru, C Aragonese, R Baratti, A Servida Chemical engineering science 55 (2), 331-338, 2000 | 33 | 2000 |
| Geometric observer for a distillation column: development and experimental testing S Tronci, F Bezzo, M Barolo, R Baratti Industrial & engineering chemistry research 44 (26), 9884-9893, 2005 | 32 | 2005 |
| Optimization of a nonisothermal nonadiabatic fixed-bed reactor using dirac-type silver catalysts for ethylene epoxidation R Baratti, A Gavriilidis, M Morbidelli, A Varma Chemical engineering science 49 (12), 1925-1936, 1994 | 32 | 1994 |
| Model calibration for the carbon dioxide-amine absorption system M Errico, C Madeddu, D Pinna, R Baratti Applied Energy 183, 958-968, 2016 | 31 | 2016 |
| A model-based approach for controlling particle size distribution in combined cooling-antisolvent crystallization processes N Ghadipasha, JA Romagnoli, S Tronci, R Baratti Chemical Engineering Science 190, 260-272, 2018 | 29 | 2018 |
| A feedforward control strategy for distillation columns R Baratti, S Corti, A Servida Artificial intelligence in engineering 11 (4), 405-412, 1997 | 29 | 1997 |
Massimiliano GrossoUniversità degli Studi di CagliariEmail verificata su dimcm.unica.it
