| Complex-valued neural networks: theories and applications A Hirose World Scientific, 2003 | 1019 | 2003 |
| Reversible watermarking algorithm using sorting and prediction V Sachnev, HJ Kim, J Nam, S Suresh, YQ Shi IEEE Transactions on Circuits and Systems for Video Technology 19 (7), 989-999, 2009 | 1013 | 2009 |
| Self regulating particle swarm optimization algorithm MR Tanweer, S Suresh, N Sundararajan Information Sciences 294, 182-202, 2015 | 351 | 2015 |
| No-reference image quality assessment using modified extreme learning machine classifier S Suresh, RV Babu, HJ Kim Applied soft computing 9 (2), 541-552, 2009 | 293 | 2009 |
| Particle swarm optimization approach for multi-objective composite box-beam design S Suresh, PB Sujit, AK Rao Composite Structures 81 (4), 598-605, 2007 | 196 | 2007 |
| Performance enhancement of extreme learning machine for multi-category sparse data classification problems S Suresh, S Saraswathi, N Sundararajan Engineering Applications of Artificial Intelligence 23 (7), 1149-1157, 2010 | 190 | 2010 |
| Multi-UAV oxyrrhis marina-inspired search and dynamic formation control for forest firefighting K Harikumar, J Senthilnath, S Sundaram IEEE Transactions on Automation Science and Engineering 16 (2), 863-873, 2018 | 153 | 2018 |
| Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging: A spatial filtering … V Subbaraju, MB Suresh, S Sundaram, S Narasimhan Medical image analysis 35, 375-389, 2017 | 146 | 2017 |
| Risk-sensitive loss functions for sparse multi-category classification problems S Suresh, N Sundararajan, P Saratchandran Information Sciences 178 (12), 2621-2638, 2008 | 143 | 2008 |
| Prediction of unconfined compressive strength of soft grounds using computational intelligence techniques: A comparative study BS Narendra, PV Sivapullaiah, S Suresh, SN Omkar Computers and Geotechnics 33 (3), 196-208, 2006 | 140 | 2006 |
| A metacognitive neuro-fuzzy inference system (McFIS) for sequential classification problems K Subramanian, S Suresh, N Sundararajan IEEE Transactions on Fuzzy Systems 21 (6), 1080-1095, 2013 | 139 | 2013 |
| A sequential learning algorithm for self-adaptive resource allocation network classifier S Suresh, K Dong, HJ Kim Neurocomputing 73 (16-18), 3012-3019, 2010 | 139 | 2010 |
| Meta-cognitive neural network for classification problems in a sequential learning framework GS Babu, S Suresh Neurocomputing 81, 86-96, 2012 | 136 | 2012 |
| Sequential projection-based metacognitive learning in a radial basis function network for classification problems GS Babu, S Suresh IEEE transactions on neural networks and learning systems 24 (2), 194-206, 2012 | 130 | 2012 |
| ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented S Saraswathi, S Sundaram, N Sundararajan, M Zimmermann, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2), 452-463, 2010 | 130 | 2010 |
| Lift coefficient prediction at high angle of attack using recurrent neural network S Suresh, SN Omkar, V Mani, TNG Prakash Aerospace science and technology 7 (8), 595-602, 2003 | 129 | 2003 |
| A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system K Subramanian, S Suresh Applied soft computing 12 (11), 3603-3614, 2012 | 128 | 2012 |
| Parallel implementation of back-propagation algorithm in networks of workstations S Suresh, SN Omkar, V Mani IEEE Transactions on parallel and distributed systems 16 (1), 24-34, 2005 | 128 | 2005 |
| No-reference JPEG-image quality assessment using GAP-RBF RV Babu, S Suresh, A Perkis Signal Processing 87 (6), 1493-1503, 2007 | 123 | 2007 |
| A fully complex-valued radial basis function network and its learning algorithm R Savitha, S Suresh, N Sundararajan International Journal of Neural Systems 19 (04), 253-267, 2009 | 121 | 2009 |
Sundararajan NRetd. Prof EEE, NTU, Singapore在 ntu.edu.sg 的电子邮件经过验证
