Suresh Sundaram
Suresh Sundaram
Department of Aerospace Engineering, Indian Institute of Science
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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
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
Self regulating particle swarm optimization algorithm
MR Tanweer, S Suresh, N Sundararajan
Information Sciences 294, 182-202, 2015
Complex-valued neural networks: Advances and applications
A Hirose
John Wiley & Sons, 2013
Particle swarm optimization approach for multi-objective composite box-beam design
S Suresh, PB Sujit, AK Rao
Composite Structures 81 (4), 598-605, 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
A sequential learning algorithm for self-adaptive resource allocation network classifier
S Suresh, K Dong, HJ Kim
Neurocomputing 73 (16-18), 3012-3019, 2010
Risk-sensitive loss functions for sparse multi-category classification problems
S Suresh, N Sundararajan, P Saratchandran
Information Sciences 178 (12), 2621-2638, 2008
Meta-cognitive neural network for classification problems in a sequential learning framework
GS Babu, S Suresh
Neurocomputing 81, 86-96, 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
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
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
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
Identification of crack location and depth in a cantilever beam using a modular neural network approach
S Suresh, SN Omkar, R Ganguli, V Mani
Smart Materials and Structures 13 (4), 907, 2004
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
A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
K Subramanian, S Suresh
Applied soft computing 12 (11), 3603-3614, 2012
No-reference JPEG-image quality assessment using GAP-RBF
RV Babu, S Suresh, A Perkis
Signal Processing 87 (6), 1493-1503, 2007
Metacognitive learning in a fully complex-valued radial basis function neural network
R Savitha, S Suresh, N Sundararajan
Neural computation 24 (5), 1297-1328, 2012
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
Meta-cognitive RBF network and its projection based learning algorithm for classification problems
GS Babu, S Suresh
Applied Soft Computing 13 (1), 654-666, 2013
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