| A fuzzy data envelopment analysis approach for FMEA PAA Garcia, R Schirru Progress in Nuclear Energy 46 (3-4), 359-373, 2005 | 227 | 2005 |
| Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks CM Salgado, CMNA Pereira, R Schirru, LEB Brandão Progress in Nuclear Energy 52 (6), 555-562, 2010 | 202 | 2010 |
| Particle swarm optimization applied to the nuclear reload problem of a pressurized water reactor AA de Moura Meneses, MD Machado, R Schirru Progress in Nuclear Energy 51 (2), 319-326, 2009 | 188 | 2009 |
| Validation of a NaI (Tl) detector's model developed with MCNP-X code CM Salgado, LEB Brandão, R Schirru, CMNA Pereira, CC Conti Progress in Nuclear Energy 59, 19-25, 2012 | 187 | 2012 |
| Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network CM Salgado, LEB Brandão, R Schirru, CMNA Pereira, AX da Silva, ... Applied Radiation and Isotopes 67 (10), 1812-1818, 2009 | 142 | 2009 |
| A new approach to the use of genetic algorithms to solve the pressurized water reactor's fuel management optimization problem JLC Chapot, FC Da Silva, R Schirru Annals of Nuclear Energy 26 (7), 641-655, 1999 | 141 | 1999 |
| The Ant-Q algorithm applied to the nuclear reload problem L Machado, R Schirru Annals of Nuclear Energy 29 (12), 1455-1470, 2002 | 125 | 2002 |
| Using genetic algorithms for robust optimization in financial applications OV Pictet, MM Dacorogna, B Chopard, M Oussaidene, R Schirru, ... SSRN, 1999 | 98 | 1999 |
| Multiprocessor modeling of parallel Particle Swarm Optimization applied to nuclear engineering problems M Waintraub, R Schirru, CMNA Pereira Progress in Nuclear Energy 51 (6-7), 680-688, 2009 | 95 | 2009 |
| Identification of nuclear power plant transients using the Particle Swarm Optimization algorithm JACC Medeiros, R Schirru Annals of Nuclear Energy 35 (4), 576-582, 2008 | 93 | 2008 |
| Swarm intelligence of artificial bees applied to in-core fuel management optimization IMS De Oliveira, R Schirru Annals of Nuclear Energy 38 (5), 1039-1045, 2011 | 85 | 2011 |
| A nuclear reactor core fuel reload optimization using artificial ant colony connective networks AMM de Lima, R Schirru, FC da Silva, JACC Medeiros Annals of Nuclear Energy 35 (9), 1606-1612, 2008 | 80 | 2008 |
| Basic investigations related to genetic algorithms in core designs CMNA Pereira, R Schirru, AS Martinez Annals of Nuclear Energy 26 (3), 173-193, 1999 | 79 | 1999 |
| Explosives detection using prompt-gamma neutron activation and neural networks WV Nunes, AX Da Silva, VR Crispim, R Schirru Applied radiation and isotopes 56 (6), 937-943, 2002 | 65 | 2002 |
| Deep rectifier neural network applied to the accident identification problem in a PWR nuclear power plant MC dos Santos, VHC Pinheiro, FSM do Desterro, RK de Avellar, R Schirru, ... Annals of Nuclear Energy 133, 400-408, 2019 | 62 | 2019 |
| Applying particle swarm optimization algorithm for tuning a neuro-fuzzy inference system for sensor monitoring MV Oliveira, R Schirru Progress in Nuclear Energy 51 (1), 177-183, 2009 | 52 | 2009 |
| The fuzzy clearing approach for a niching genetic algorithm applied to a nuclear reactor core design optimization problem WF Sacco, MD Machado, CMNA Pereira, R Schirru Annals of Nuclear Energy 31 (1), 55-69, 2004 | 51 | 2004 |
| Quantum evolutionary algorithm applied to transient identification of a nuclear power plant A dos Santos Nicolau, R Schirru, AA de Moura Meneses Progress in Nuclear Energy 53 (1), 86-91, 2011 | 45 | 2011 |
| Simultaneous model selection, robust data reconciliation and outlier detection with swarm intelligence in a thermal reactor power calculation ED Valdetaro, R Schirru Annals of Nuclear Energy 38 (9), 1820-1832, 2011 | 41 | 2011 |
| A neural model for transient identification in dynamic processes with “don't know” response ACA Mol, AS Martinez, R Schirru Annals of Nuclear Energy 30 (13), 1365-1381, 2003 | 40 | 2003 |
Anderson Alvarenga de Moura MenesesProfessor - UFOPAПідтверджена електронна адреса в ufopa.edu.br
