Narasimhan Sundararajan

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 36

Top Topics

Optimization Algorithm

Fuzzy Inference

Neural Classifier

Top Venues

IEEE Trans. Cybern.

Publications

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) (2024)
Vignesh Gurumurthy, Nishant Mohanty, Suresh Sundaram, Narasimhan Sundararajan
An efficient reinforcement learning scheme for the confinement escape problem. Appl. Soft Comput. 152 (2024)
Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem. CoRR (2023)
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) (2023)
Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram, Narasimhan Sundararajan
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving. CoRR (2023)
Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan
MFN) for Building Segmentation of InSAR images. SSCI (2022)
Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan
Robust EMRAN-aided coupled controller for autonomous vehicles. Eng. Appl. Artif. Intell. 110 (2022)
Jayabrata Chowdhury, Suresh Sundaram, Nishant Rao, Narasimhan Sundararajan
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. CoRR (2022)
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 (2022)
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) (2022)
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) (2022)
Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense. IEEE Trans. Robotics 38 (5) (2022)
Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense. CoRR (2021)
Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan
Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles. CoRR (2021)
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 (2021)
Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram, Narasimhan Sundararajan
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle. CoRR (2020)
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) (2019)
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 (2019)
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) (2019)
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) (2019)
Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network. IEEE Trans. Cybern. 49 (3) (2019)
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)
Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan
Online Meta-neuron based Learning Algorithm for a spiking neural classifier. Inf. Sci. 414 (2017)
Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan
Development of a Higher Order Cognitive Optimization algorithm. CEC (2017)
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 (2017)
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) (2016)
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)
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)
A. K. Das, Suresh Sundaram, Narasimhan Sundararajan
A robust interval Type-2 Fuzzy Inference based BCI system. SMC (2016)
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) (2015)
Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan
Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems. CEC (2015)
Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan
Mentoring based particle swarm optimization algorithm for faster convergence. CEC (2015)
Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan
Using regional homogeneity from functional MRI for diagnosis of ASD among males. IJCNN (2015)
Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan
A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. IJCNN (2015)
Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan
Self regulating particle swarm optimization algorithm. Inf. Sci. 294 (2015)
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)
Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan
Human meta-cognition inspired collaborative search algorithm for optimization. MFI (2014)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan
Fast learning complex-valued classifiers for real-valued classification problems. Int. J. Mach. Learn. Cybern. 4 (5) (2013)
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)
Kartick Subramanian, Suresh Sundaram, Narasimhan Sundararajan
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems. IEEE Trans. Fuzzy Syst. 21 (6) (2013)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan
Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24 (4) (2013)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, H. J. Kim
A fully complex-valued radial basis function classifier for real-valued classification problems. Neurocomputing 78 (1) (2012)
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) (2011)
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) (2011)
B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan, M. Aswatha Kumar
Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. IJCNN (2011)
Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan
A fast learning Fully Complex-valued Relaxation Network (FCRN). IJCNN (2011)
Gopalan Vani, Ramaswamy Savitha, Narasimhan Sundararajan
Classification of abnormalities in digitized mammograms using Extreme Learning Machine. ICARCV (2010)
Sureshkumar Chandrasekar, Suresh Sundaram, Narasimhan Sundararajan, Narayanaswamy Nagarajan
An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies. ICARCV (2010)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan
A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. IJCNN (2010)
Hai-Jun Rong, Narasimhan Sundararajan
Fuzzy-neuro fault-tolerant control schemes for aircraft autolanding under actuator failures. CISDA (2009)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. IJCNN (2009)
Suresh Sundaram, V. Mani, S. N. Omkar, H. J. Kim, Narasimhan Sundararajan
A new load distribution strategy for linear network with communication delays. Math. Comput. Simul. 79 (5) (2009)
Suresh Sundaram, Hai-Jun Rong, Narasimhan Sundararajan
Bio-inspired computing for launch vehicle design and trajectory optimization. CISDA (2009)
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) (2009)
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) (2008)
Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran
Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. IJCNN (2008)
Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran
A sequential multi-category classifier using radial basis function networks. Neurocomputing 71 (7-9) (2008)
Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran
Risk-sensitive loss functions for sparse multi-category classification problems. Inf. Sci. 178 (12) (2008)
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 (3) (2006)
Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran
Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding. FUZZ-IEEE (2006)
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) (2006)
Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV (2006)
A. A. Pashilkar, Narasimhan Sundararajan, Paramasivan Saratchandran
Adaptive back-stepping neural controller for reconfigurable flight control systems. IEEE Trans. Control. Syst. Technol. 14 (3) (2006)
Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan
Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. ISNN (2) (2006)
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) (2006)
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) (2005)
Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. CIBCB (2005)
Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan
Performance Evaluation of GAP-RBF Network in Channel Equalization. Neural Process. Lett. 22 (2) (2005)
Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan
On-Line Sequential Extreme Learning Machine. Computational Intelligence (2005)
Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan
Fully complex extreme learning machine. Neurocomputing 68 (2005)
Li Guojie, Paramasivan Saratchandran, Narasimhan Sundararajan
Text-independent speaker verification using minimal resource allocation networks. Int. J. Neural Syst. 14 (6) (2004)
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) (2004)
Hu Minghui, P. Saratchandran, Narasimhan Sundararajan
A sequential learning neural network for foreign exchange rate forecasting. SMC (2003)
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) (2003)
Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran
ATM congestion control using Minimal Resource Allocation Networks (MRAN). Neural Comput. Appl. 12 (2) (2003)
Yan Li, Zhifeng Wang, Narasimhan Sundararajan, Paramasivan Saratchandran
Neuro-controllers for aircraft auto-landing under severe wind conditions. ACC (2003)
Deng Jianping, Narasimhan Sundararajan, P. Saratchandran
Communication channel equalization using complex-valued minimal radial basis function neural networks. IEEE Trans. Neural Networks 13 (3) (2002)
Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran
ABR traffic management using minimal resource allocation (neural) networks. Comput. Commun. 25 (1) (2002)
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) (2002)
Yan Li, Narasimhan Sundararajan, P. Saratchandran
Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks. Autom. 37 (8) (2001)
Wee Sng Khoo, Paramasivan Saratchandran, Narasimhan Sundararajan
A Genetic Approach for Two Dimensional Packing with Constraints. International Conference on Computational Science (2) (2001)
Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran
Minimal resource allocation network (MRAN) for magnetic recording channel equalization. ICASSP (2001)
Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran
Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). Neural Comput. Appl. 10 (2) (2001)
Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran
Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing. Int. J. Neural Syst. 10 (2) (2000)
Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran
Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks. Neural Process. Lett. 12 (3) (2000)
Sun Yonghong, Paramasivan Saratchandran, Narasimhan Sundararajan
A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation. Neural Process. Lett. 12 (3) (2000)
Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran
Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network. IJCNN (5) (2000)
Li Rui, Narasimhan Sundararajan, Paramasivan Saratchandran
Blind equalization using higher order statistics and neural networks: A comparative study. Neural Parallel Sci. Comput. 7 (4) (1999)
Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran
Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic. Broadband Communications (1999)
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) (1999)
Palaniswamy Chandra Kumar, Paramasivan Saratchandran, Narasimhan Sundararajan
Non-linear channel equalisation using minimal radial basis function neural networks. ICASSP (1998)
Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran
A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. Neural Comput. 9 (2) (1997)
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) (1997)
Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran
Adaptive nonlinear system identification using minimal radial basis function neural networks. ICASSP (1996)
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) (1995)
Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan
Analysis of training set parallelism for backpropagation neural networks. Int. J. Neural Syst. 6 (1) (1995)
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) (1994)