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ORCIDNarasimhan Sundararajan
N. Sundararajan 0001
Person information
- affiliation: Nanyang Technological University, School of Computer Engineering, Singapore
Other persons with the same name
- N. Sundararajan 0002 — Osmania University, Centre for Exploration Geophysics, Hyderabad, India
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Books and Theses
- 2013
[b3]Suresh Sundaram, Narasimhan Sundararajan, Ramaswamy Savitha:
Supervised Learning with Complex-valued Neural Networks. Studies in Computational Intelligence 421, Springer 2013, ISBN 978-3-642-29490-7, pp. 1-168- 1998
- [b2]N. Sundararajan, P. Saratchandran:
Parallel architectures for artificial neural networks - paradigms and implementations. IEEE 1998, ISBN 978-0-8186-8399-2, pp. I-XXIX, 1-379 - 1971
- [b1]Narasimhan Sundararajan:
Sensitivity Reduction Method for Feedback Systems. University of Illinois Urbana-Champaign, USA, 1971
Journal Articles
- 2024
- [j88]Vignesh Gurumurthy
, Nishant Mohanty, Suresh Sundaram, Narasimhan Sundararajan:
An efficient reinforcement learning scheme for the confinement escape problem. Appl. Soft Comput. 152: 111248 (2024) - [j87]Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan:
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. IEEE Trans. Cybern. 54(1): 3-12 (2024) - 2023
- [j86]Vasily Sachnev, Narasimhan Sundararajan, Suresh Sundaram:
A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection. Cogn. Comput. 15(2): 751-764 (2023) - 2022
- [j85]Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan:
Robust EMRAN-aided coupled controller for autonomous vehicles. Eng. Appl. Artif. Intell. 110: 104717 (2022) - [j84]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
Dynamic Resource Allocation With Decentralized Multi-Task Assignment Approach for Perimeter Defense Problem. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3313-3325 (2022) - [j83]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense. IEEE Trans. Robotics 38(5): 3085-3096 (2022) - [j82]Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram, Narasimhan Sundararajan:
Robust Simultaneously Stabilizing Decoupling Output Feedback Controllers for Unstable Adversely Coupled Nano Air Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 1003-1013 (2022) - 2021
- [j81]Abhay M. S. Aradhya, Vigneshwaran Subbaraju, Suresh Sundaram, Narasimhan Sundararajan:
Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities. Expert Syst. Appl. 181: 115074 (2021) - [j80]Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan:
Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076]. IFAC J. Syst. Control. 17: 100165 (2021) - 2020
- [j79]Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan:
A rolling horizon optimization approach for dynamic airspace sectorization. IFAC J. Syst. Control. 11: 100076 (2020) - 2019
- [j78]Subhrajit Samanta, Suresh Sundaram, J. Senthilnath, N. Sundararajan:
A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. Appl. Soft Comput. 82 (2019) - [j77]S. V. Aruna Kumar, B. S. Harish, B. S. Mahanand, N. Sundararajan:
An efficient Meta-cognitive Fuzzy C-Means clustering approach. Appl. Soft Comput. 85 (2019) - [j76]Vasily Sachnev, Suresh Sundaram, Narasimhan Sundararajan, Belathur Suresh Mahanand, Muhammad W. Azeem, Saras Saraswathi:
Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder. Cogn. Comput. 11(4): 545-559 (2019) - [j75]Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan:
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network. IEEE Trans. Cybern. 49(3): 989-999 (2019) - [j74]Cheryl Sze Yin Wong, Suresh Sundaram, Narasimhan Sundararajan:
CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations. IEEE Trans. Intell. Transp. Syst. 20(5): 1659-1668 (2019) - [j73]Abeegithan Jeyasothy, Suresh Sundaram, Narasimhan Sundararajan:
SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1231-1240 (2019) - 2018
- [j72]Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan:
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Inf. Sci. 454-455: 1-15 (2018) - 2017
- [j71]Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan:
Online Meta-neuron based Learning Algorithm for a spiking neural classifier. Inf. Sci. 414: 19-32 (2017) - [j70]Vigneshwaran Subbaraju, Mahanand Belathur Suresh, Suresh Sundaram, Narasimhan Sundararajan:
Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach. Medical Image Anal. 35: 375-389 (2017) - 2016
- [j69]A. K. Das, Suresh Sundaram, N. Sundararajan:
A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. Expert Syst. Appl. 64: 375-384 (2016) - [j68]Shirin Dora, K. Subramanian, Suresh Sundaram, N. Sundararajan:
Development of a Self-Regulating Evolving Spiking Neural Network for classification problem. Neurocomputing 171: 1216-1229 (2016) - [j67]Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan:
Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems. Inf. Sci. 326: 1-24 (2016) - [j66]Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan:
MSO: a framework for bound-constrained black-box global optimization algorithms. J. Glob. Optim. 66(4): 811-845 (2016) - [j65]Muhammad Rizwan Tanweer, R. Auditya, Suresh Sundaram, N. Sundararajan, N. Srikanth:
Directionally Driven Self-Regulating Particle Swarm Optimization algorithm. Swarm Evol. Comput. 28: 98-116 (2016) - [j64]Ankit Kumar Das, Suresh Sundaram, Narasimhan Sundararajan:
A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI. IEEE Trans. Fuzzy Syst. 24(6): 1565-1577 (2016) - 2015
- [j63]Shirin Dora, Suresh Sundaram, N. Sundararajan:
A sequential learning algorithm for a spiking neural classifier. Appl. Soft Comput. 36: 255-268 (2015) - [j62]Vigneshwaran Subbaraju, Suresh Sundaram, Narasimhan Sundararajan, Mahanand Belathur Suresh:
Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network. Expert Syst. Appl. 42(22): 8775-8790 (2015) - [j61]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Self regulating particle swarm optimization algorithm. Inf. Sci. 294: 182-202 (2015) - 2013
- [j60]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Fast learning complex-valued classifiers for real-valued classification problems. Int. J. Mach. Learn. Cybern. 4(5): 469-476 (2013) - [j59]Kartick Subramanian, Suresh Sundaram, Narasimhan Sundararajan:
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems. IEEE Trans. Fuzzy Syst. 21(6): 1080-1095 (2013) - [j58]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24(4): 529-541 (2013) - 2012
- [j57]Suresh Sundaram, N. Sundararajan:
An on-line learning neural controller for helicopters performing highly nonlinear maneuvers. Appl. Soft Comput. 12(1): 360-371 (2012) - [j56]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, Hyoung Joong Kim:
A fully complex-valued radial basis function classifier for real-valued classification problems. Neurocomputing 78(1): 104-110 (2012) - [j55]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan:
Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems. Inf. Sci. 187: 277-290 (2012) - [j54]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan:
Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. Neural Comput. 24(5): 1297-1328 (2012) - [j53]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan:
A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. Neural Networks 32: 209-218 (2012) - [j52]B. S. Mahanand, Suresh Sundaram, N. Sundararajan, M. Aswatha Kumar:
Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network. Neural Networks 32: 313-322 (2012) - 2011
- [j51]Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao:
Extended sequential adaptive fuzzy inference system for classification problems. Evol. Syst. 2(2): 71-82 (2011) - [j50]N. Sundararajan, Ali Al-Lazki:
An alternate and effective approach to Hilbert transform in geophysical applications. Comput. Geosci. 37(10): 1622-1626 (2011) - [j49]Saras Saraswathi, Suresh Sundaram, Narasimhan Sundararajan, Michael T. Zimmermann, Marit Nilsen-Hamilton:
ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 452-463 (2011) - [j48]Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan:
A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN. IEEE Trans. Neural Networks 22(7): 1061-1072 (2011) - 2010
- [j47]Suresh Sundaram, Saras Saraswathi, N. Sundararajan:
Performance enhancement of extreme learning machine for multi-category sparse data classification problems. Eng. Appl. Artif. Intell. 23(7): 1149-1157 (2010) - 2009
- [j46]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan:
A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm. Int. J. Neural Syst. 19(4): 253-267 (2009) - [j45]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, P. Saratchandran:
A new learning algorithm with logarithmic performance index for complex-valued neural networks. Neurocomputing 72(16-18): 3771-3781 (2009) - [j44]Suresh Sundaram, V. Mani, S. N. Omkar, Hyoung Joong Kim, Narasimhan Sundararajan:
A new load distribution strategy for linear network with communication delays. Math. Comput. Simul. 79(5): 1488-1501 (2009) - [j43]Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran:
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems. IEEE Trans. Syst. Man Cybern. Part B 39(4): 1067-1072 (2009) - 2008
- [j42]V. Chakravarthi, N. Sundararajan:
TODGINV - A code for optimization of gravity anomalies due to anticlinal and synclinal structures with parabolic density contrast. Comput. Geosci. 34(8): 955-966 (2008) - [j41]Suresh Sundaram, N. Kannan, Narasimhan Sundararajan, Paramasivan Saratchandran:
Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft. Int. J. Neural Syst. 18(3): 219-231 (2008) - [j40]Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran:
A sequential multi-category classifier using radial basis function networks. Neurocomputing 71(7-9): 1345-1358 (2008) - [j39]Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran:
Risk-sensitive loss functions for sparse multi-category classification problems. Inf. Sci. 178(12): 2621-2638 (2008) - 2007
- [j38]V. Chakravarthi, N. Sundararajan:
INV2P5DSB - A code for gravity inversion of 2.5-D sedimentary basins using depth dependent density. Comput. Geosci. 33(4): 449-456 (2007) - [j37]Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran:
Improved GAP-RBF network for classification problems. Neurocomputing 70(16-18): 3011-3018 (2007) - [j36]Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran:
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 485-495 (2007) - 2006
- [j35]Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran:
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst. 157(9): 1260-1275 (2006) - [j34]Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan:
Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. Int. J. Neural Syst. 16(1): 29-38 (2006) - [j33]Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan:
Can threshold networks be trained directly? IEEE Trans. Circuits Syst. II Express Briefs 53-II(3): 187-191 (2006) - [j32]A. A. Pashilkar, Narasimhan Sundararajan, Paramasivan Saratchandran:
Adaptive back-stepping neural controller for reconfigurable flight control systems. IEEE Trans. Control. Syst. Technol. 14(3): 553-561 (2006) - [j31]Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE Trans. Neural Networks 17(6): 1411-1423 (2006) - 2005
- [j30]V. Chakravarthi, N. Sundararajan:
Gravity modeling of 21/2-D sedimentary basins - a case of variable density contrast. Comput. Geosci. 31(7): 820-827 (2005) - [j29]V. Chakravarthi, N. Sundararajan:
INVGRAFALT-A Fortran code for Marquardt inversion of gravity anomalies of faulted beds with varying density. Comput. Geosci. 31(10): 1234-1240 (2005) - [j28]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Fully complex extreme learning machine. Neurocomputing 68: 306-314 (2005) - [j27]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Performance Evaluation of GAP-RBF Network in Channel Equalization. Neural Process. Lett. 22(2): 223-233 (2005) - [j26]Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation. IEEE Trans. Neural Networks 16(1): 57-67 (2005) - 2004
- [j25]V. Chakravarthi, N. Sundararajan:
Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth. Comput. Geosci. 30(6): 601-607 (2004) - [j24]Li Guojie, Paramasivan Saratchandran, Narasimhan Sundararajan:
Text-independent speaker verification using minimal resource allocation networks. Int. J. Neural Syst. 14(6): 347-354 (2004) - [j23]Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2284-2292 (2004) - 2003
- [j22]Supeng Leng, Krishnappa R. Subramanian, Narasimhan Sundararajan, Paramasivan Saratchandran:
Novel Neutral Network Approach to Call Admission Control in High-speed Networks. Int. J. Neural Syst. 13(4): 251-262 (2003) - [j21]Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran:
ATM congestion control using Minimal Resource Allocation Networks (MRAN). Neural Comput. Appl. 12(2): 89-97 (2003) - 2002
- [j20]T. K. Leong, Paramasivan Saratchandran, Narasimhan Sundararajan:
Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems. Comput. Electr. Eng. 28(2): 103-117 (2002) - [j19]Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran:
ABR traffic management using minimal resource allocation (neural) networks. Comput. Commun. 25(1): 9-20 (2002) - [j18]Deng Jianping, Narasimhan Sundararajan, P. Saratchandran:
Communication channel equalization using complex-valued minimal radial basis function neural networks. IEEE Trans. Neural Networks 13(3): 687-696 (2002) - 2001
- [j17]Yan Li, Narasimhan Sundararajan, P. Saratchandran:
Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks. Autom. 37(8): 1293-1301 (2001) - [j16]Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran:
Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). Neural Comput. Appl. 10(2): 172-183 (2001) - [j15]Deng Jianping, N. Sundararajan, P. Saratchandran:
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). IEEE Trans. Neural Networks 12(1): 171-174 (2001) - 2000
- [j14]Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran:
Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing. Int. J. Neural Syst. 10(2): 95-106 (2000) - [j13]Sun Yonghong, Paramasivan Saratchandran, Narasimhan Sundararajan:
A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation. Neural Process. Lett. 12(3): 255-265 (2000) - [j12]Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran:
Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks. Neural Process. Lett. 12(3): 291-303 (2000) - 1999
- [j11]Li Rui, Narasimhan Sundararajan, Paramasivan Saratchandran:
Blind equalization using higher order statistics and neural networks: A comparative study. Neural Parallel Sci. Comput. 7(4): 501-520 (1999) - [j10]Q. Gan, Paramasivan Saratchandran, Narasimhan Sundararajan, Krishnappa R. Subramanian:
A complex valued radial basis function network for equalization of fast time varying channels. IEEE Trans. Neural Networks 10(4): 958-960 (1999) - 1998
- [j9]Yingwei Lu, N. Sundararajan, P. Saratchandran:
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. IEEE Trans. Neural Networks 9(2): 308-318 (1998) - 1997
- [j8]Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran:
A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. Neural Comput. 9(2): 461-478 (1997) - [j7]Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan:
Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers. IEEE Trans. Syst. Man Cybern. Part B 27(1): 118-126 (1997) - 1996
- [j6]Jianliang Wang, N. Sundararajan:
Extended nonlinear flight controller design for aircraft. Autom. 32(8): 1187-1193 (1996) - [j5]Shou King Foo, P. Saratchandran, N. Sundararajan:
Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network. J. Intell. Fuzzy Syst. 4(3): 227-234 (1996) - 1995
- [j4]Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan:
Analysis of training set parallelism for backpropagation neural networks. Int. J. Neural Syst. 6(1): 61-78 (1995) - [j3]Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan:
Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network. Neural Parallel Sci. Comput. 3(4): 467-486 (1995) - 1994
- [j2]Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan:
A study of parallel implementation of backpropagation neural networks on a transputer array. Neural Parallel Sci. Comput. 2(3): 321-332 (1994) - 1987
- [j1]N. Sundararajan:
Experimental evaluation of flexible structure identification using lattice filters. Autom. 23(5): 571-579 (1987)
Conference and Workshop Papers
- 2022
- [c44]Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan:
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images. SSCI 2022: 581-587 - 2018
- [c43]Abhay M. S. Aradhya, Vigneshwaran Subbaraju, Suresh Sundaram, Narasimhan Sundararajan:
Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI). EMBC 2018: 5541-5544 - 2017
- [c42]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Development of a Higher Order Cognitive Optimization algorithm. CEC 2017: 2752-2758 - 2016
- [c41]A. K. Das, Suresh Sundaram, Narasimhan Sundararajan:
A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification. FUZZ-IEEE 2016: 751-758 - [c40]A. K. Das, Tan Teck Leong, Suresh Sundaram, Narasimhan Sundararajan:
Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach. FUZZ-IEEE 2016: 2501-2507 - [c39]A. K. Das, Suresh Sundaram, Narasimhan Sundararajan:
A robust interval Type-2 Fuzzy Inference based BCI system. SMC 2016: 4176-4181 - 2015
- [c38]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Mentoring based particle swarm optimization algorithm for faster convergence. CEC 2015: 196-203 - [c37]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems. CEC 2015: 1943-1949 - [c36]A. K. Das, Suresh Sundaram, Narasimhan Sundararajan, K. Subramanian:
A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach. FUZZ-IEEE 2015: 1-8 - [c35]Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan:
A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. IJCNN 2015: 1-7 - [c34]Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan:
Using regional homogeneity from functional MRI for diagnosis of ASD among males. IJCNN 2015: 1-8 - [c33]Vigneshwaran Senthilvel, Suresh Sundaram, B. S. Mahanand, N. Sundararajan:
ASD detection in males using MRI- an age-group based study. IJCNN 2015: 1-8 - 2014
- [c32]Shirin Dora, Suresh Sundaram, N. Sundararajan:
A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. IJCNN 2014: 2415-2421 - [c31]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Human meta-cognition inspired collaborative search algorithm for optimization. MFI 2014: 1-6 - 2013
- [c30]Saras Saraswathi, B. S. Mahanand, Andrzej Kloczkowski, Suresh Sundaram, N. Sundararajan:
Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier. CIMI 2013: 42-48 - [c29]Abhay A. Pashilkar, Shaik Ismail, Ramakalyan Ayyagari, Narasimhan Sundararajan:
Design of a nonlinear dynamic inversion controller for trajectory following and maneuvering for fixed wing aircraft. CISDA 2013: 64-71 - [c28]Shaik Ismail, Abhay A. Pashilkar, Ramakalyan Ayyagari, N. Sundararajan:
Improved autolanding controller for aircraft encountering unknown actuator failures. CISDA 2013: 96-103 - 2011
- [c27]Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan:
A fast learning Fully Complex-valued Relaxation Network (FCRN). IJCNN 2011: 1372-1377 - [c26]B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan, M. Aswatha Kumar:
Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. IJCNN 2011: 1930-1934 - [c25]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, Hyoung Joong Kim:
Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. ISNN (1) 2011: 602-609 - 2010
- [c24]Sureshkumar Chandrasekar, Suresh Sundaram, Narasimhan Sundararajan, Narayanaswamy Nagarajan:
An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies. ICARCV 2010: 50-56 - [c23]Gopalan Vani, Ramaswamy Savitha, Narasimhan Sundararajan:
Classification of abnormalities in digitized mammograms using Extreme Learning Machine. ICARCV 2010: 2114-2117 - [c22]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. IJCNN 2010: 1-8 - 2009
- [c21]Hai-Jun Rong, Narasimhan Sundararajan:
Fuzzy-neuro fault-tolerant control schemes for aircraft autolanding under actuator failures. CISDA 2009: 1-8 - [c20]Suresh Sundaram, Hai-Jun Rong, Narasimhan Sundararajan:
Bio-inspired computing for launch vehicle design and trajectory optimization. CISDA 2009: 1-8 - [c19]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. IJCNN 2009: 2819-2825 - 2008
- [c18]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran:
Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. IJCNN 2008: 2251-2258 - 2007
- [c17]Sriram Narasimha, Suresh Sundaram, N. Sundararajan:
Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings. ISIC 2007: 138-143 - 2006
- [c16]Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran:
Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding. FUZZ-IEEE 2006: 1200-1204 - [c15]Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan:
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV 2006: 1-6 - [c14]Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. ISNN (2) 2006: 114-119 - 2005
- [c13]Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran:
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. CIBCB 2005: 251-256 - [c12]Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan:
On-Line Sequential Extreme Learning Machine. Computational Intelligence 2005: 232-237 - 2003
- [c11]Yan Li, Zhifeng Wang, Narasimhan Sundararajan, Paramasivan Saratchandran:
Neuro-controllers for aircraft auto-landing under severe wind conditions. ACC 2003: 1296-1301 - [c10]Minghui Hu, P. Saratchandran, Narasimhan Sundararajan:
A sequential learning neural network for foreign exchange rate forecasting. SMC 2003: 3963-3968 - 2001
- [c9]Jiong-Sang Yee, Jian Liang Wang, N. Sundararajan, Guang-Hong Yang:
Reliable and robust H∞ flight controller design for bank-angle tracking maneuver of a jet transport aircraft. CDC 2001: 229-234 - [c8]Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran:
Minimal resource allocation network (MRAN) for magnetic recording channel equalization. ICASSP 2001: 1293-1296 - [c7]Wee Sng Khoo, Paramasivan Saratchandran, Narasimhan Sundararajan:
A Genetic Approach for Two Dimensional Packing with Constraints. International Conference on Computational Science (2) 2001: 291-299 - 2000
- [c6]Mohit Aiyar, Shefali Nagpal, N. Sundararajan, P. Saratchandran:
Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks. ICON 2000: 498- - [c5]Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran:
Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network. IJCNN (5) 2000: 372-377 - 1999
- [c4]Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran:
Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic. Broadband Communications 1999: 521-532 - 1998
- [c3]Palaniswamy Chandra Kumar, Paramasivan Saratchandran, Narasimhan Sundararajan:
Non-linear channel equalisation using minimal radial basis function neural networks. ICASSP 1998: 3373-3376 - 1997
- [c2]Shou King Foo, P. Saratchandran, N. Sundararajan:
Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology. ICNN 1997: 937-942 - 1996
- [c1]Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran:
Adaptive nonlinear system identification using minimal radial basis function neural networks. ICASSP 1996: 3521-3524
Informal and Other Publications
- 2023
- [i9]Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram, Narasimhan Sundararajan:
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving. CoRR abs/2306.09055 (2023) - [i8]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem. CoRR abs/2307.09954 (2023) - 2022
- [i7]Jayabrata Chowdhury, Suresh Sundaram, Nishanth Rao, Narasimhan Sundararajan:
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. CoRR abs/2205.10092 (2022) - [i6]Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan:
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images. CoRR abs/2212.07084 (2022) - 2021
- [i5]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense. CoRR abs/2102.07381 (2021) - [i4]Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan:
Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles. CoRR abs/2106.11716 (2021) - 2020
- [i3]Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, N. Sundararajan, P. B. Sujit:
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. CoRR abs/2001.11710 (2020) - [i2]Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram, Narasimhan Sundararajan:
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle. CoRR abs/2012.06756 (2020) - 2019
- [i1]Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan:
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. CoRR abs/1904.11367 (2019)
Coauthor Index
Paramasivan Saratchandran
aka: P. Saratchandran
aka: P. Saratchandran
[b2] [j45] [j43] [j41] [j40] [j39] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j28] [j27] [j26] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j5] [j4] [j3] [j2] [c18] [c16] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[b3] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j49] [j48] [j47] [j46] [j45] [j44] [j41] [j40] [j39] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c27] [c26] [c25] [c24] [c22] [c20] [c19] [c18] [c17] [c15] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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