Narasimhan Sundararajan

Orcid: 0000-0002-6972-8775

Affiliations:
  • Nanyang Technological University, School of Computer Engineering, Singapore


According to our database1, Narasimhan Sundararajan authored at least 144 papers between 1971 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier.
IEEE Trans. Cybern., January, 2024

An efficient reinforcement learning scheme for the confinement escape problem.
Appl. Soft Comput., 2024

2023
A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection.
Cogn. Comput., March, 2023

Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem.
CoRR, 2023

Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving.
CoRR, 2023

2022
Robust Simultaneously Stabilizing Decoupling Output Feedback Controllers for Unstable Adversely Coupled Nano Air Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense.
IEEE Trans. Robotics, 2022

Dynamic Resource Allocation With Decentralized Multi-Task Assignment Approach for Perimeter Defense Problem.
IEEE Trans. Aerosp. Electron. Syst., 2022

Robust EMRAN-aided coupled controller for autonomous vehicles.
Eng. Appl. Artif. Intell., 2022

Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images.
CoRR, 2022

An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning.
CoRR, 2022

Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC<sup>2</sup>MFN) for Building Segmentation of InSAR images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076].
IFAC J. Syst. Control., 2021

Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities.
Expert Syst. Appl., 2021

Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles.
CoRR, 2021

A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense.
CoRR, 2021

2020
A rolling horizon optimization approach for dynamic airspace sectorization.
IFAC J. Syst. Control., 2020

Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle.
CoRR, 2020

Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm.
CoRR, 2020

2019
SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations.
IEEE Trans. Intell. Transp. Syst., 2019

An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network.
IEEE Trans. Cybern., 2019

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights.
CoRR, 2019

Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder.
Cogn. Comput., 2019

A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting.
Appl. Soft Comput., 2019

An efficient Meta-cognitive Fuzzy C-Means clustering approach.
Appl. Soft Comput., 2019

2018
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization.
Inf. Sci., 2018

Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI).
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
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., 2017

Online Meta-neuron based Learning Algorithm for a spiking neural classifier.
Inf. Sci., 2017

Development of a Higher Order Cognitive Optimization algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI.
IEEE Trans. Fuzzy Syst., 2016

Directionally Driven Self-Regulating Particle Swarm Optimization algorithm.
Swarm Evol. Comput., 2016

MSO: a framework for bound-constrained black-box global optimization algorithms.
J. Glob. Optim., 2016

Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems.
Inf. Sci., 2016

Development of a Self-Regulating Evolving Spiking Neural Network for classification problem.
Neurocomputing, 2016

A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification.
Expert Syst. Appl., 2016

A robust interval Type-2 Fuzzy Inference based BCI system.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Self regulating particle swarm optimization algorithm.
Inf. Sci., 2015

Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network.
Expert Syst. Appl., 2015

A sequential learning algorithm for a spiking neural classifier.
Appl. Soft Comput., 2015

ASD detection in males using MRI- an age-group based study.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Using regional homogeneity from functional MRI for diagnosis of ASD among males.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Mentoring based particle swarm optimization algorithm for faster convergence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Human meta-cognition inspired collaborative search algorithm for optimization.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Supervised Learning with Complex-valued Neural Networks
Studies in Computational Intelligence 421, Springer, ISBN: 978-3-642-29490-7, 2013

Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems.
IEEE Trans. Fuzzy Syst., 2013

Fast learning complex-valued classifiers for real-valued classification problems.
Int. J. Mach. Learn. Cybern., 2013

Design of a nonlinear dynamic inversion controller for trajectory following and maneuvering for fixed wing aircraft.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2013

Improved autolanding controller for aircraft encountering unknown actuator failures.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2013

Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier.
Proceedings of the 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging, 2013

2012
A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network.
Neural Networks, 2012

Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network.
Neural Networks, 2012

Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network.
Neural Comput., 2012

Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems.
Inf. Sci., 2012

A fully complex-valued radial basis function classifier for real-valued classification problems.
Neurocomputing, 2012

An on-line learning neural controller for helicopters performing highly nonlinear maneuvers.
Appl. Soft Comput., 2012

2011
A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN.
IEEE Trans. Neural Networks, 2011

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., 2011

An alternate and effective approach to Hilbert transform in geophysical applications.
Comput. Geosci., 2011

Extended sequential adaptive fuzzy inference system for classification problems.
Evol. Syst., 2011

Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A fast learning Fully Complex-valued Relaxation Network (FCRN).
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Performance enhancement of extreme learning machine for multi-category sparse data classification problems.
Eng. Appl. Artif. Intell., 2010

A self-regulated learning in Fully Complex-valued Radial Basis Function Networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Classification of abnormalities in digitized mammograms using Extreme Learning Machine.
Proceedings of the 11th International Conference on Control, 2010

An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies.
Proceedings of the 11th International Conference on Control, 2010

2009
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A new load distribution strategy for linear network with communication delays.
Math. Comput. Simul., 2009

A new learning algorithm with logarithmic performance index for complex-valued neural networks.
Neurocomputing, 2009

A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm.
Int. J. Neural Syst., 2009

Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2009

Bio-inspired computing for launch vehicle design and trajectory optimization.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2009

Fuzzy-neuro fault-tolerant control schemes for aircraft autolanding under actuator failures.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2009

2008
Risk-sensitive loss functions for sparse multi-category classification problems.
Inf. Sci., 2008

A sequential multi-category classifier using radial basis function networks.
Neurocomputing, 2008

Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft.
Int. J. Neural Syst., 2008

TODGINV - A code for optimization of gravity anomalies due to anticlinal and synclinal structures with parabolic density contrast.
Comput. Geosci., 2008

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Improved GAP-RBF network for classification problems.
Neurocomputing, 2007

INV2P5DSB - A code for gravity inversion of 2.5-D sedimentary basins using depth dependent density.
Comput. Geosci., 2007

Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks.
IEEE Trans. Neural Networks, 2006

Adaptive back-stepping neural controller for reconfigurable flight control systems.
IEEE Trans. Control. Syst. Technol., 2006

Can threshold networks be trained directly?
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine.
Int. J. Neural Syst., 2006

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.
Fuzzy Sets Syst., 2006

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Image Quality Measurement Using Sparse Extreme Learning Machine Classifier.
Proceedings of the Ninth International Conference on Control, 2006

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.
IEEE Trans. Neural Networks, 2005

Performance Evaluation of GAP-RBF Network in Channel Equalization.
Neural Process. Lett., 2005

Fully complex extreme learning machine.
Neurocomputing, 2005

Gravity modeling of 2<sup>1/2</sup>-D sedimentary basins - a case of variable density contrast.
Comput. Geosci., 2005

INVGRAFALT-A Fortran code for Marquardt inversion of gravity anomalies of faulted beds with varying density.
Comput. Geosci., 2005

On-Line Sequential Extreme Learning Machine.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Text-independent speaker verification using minimal resource allocation networks.
Int. J. Neural Syst., 2004

Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth.
Comput. Geosci., 2004

2003
ATM congestion control using Minimal Resource Allocation Networks (MRAN).
Neural Comput. Appl., 2003

Novel Neutral Network Approach to Call Admission Control in High-speed Networks.
Int. J. Neural Syst., 2003

A sequential learning neural network for foreign exchange rate forecasting.
Proceedings of the IEEE International Conference on Systems, 2003

Neuro-controllers for aircraft auto-landing under severe wind conditions.
Proceedings of the American Control Conference, 2003

2002
Communication channel equalization using complex-valued minimal radial basis function neural networks.
IEEE Trans. Neural Networks, 2002

ABR traffic management using minimal resource allocation (neural) networks.
Comput. Commun., 2002

Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems.
Comput. Electr. Eng., 2002

2001
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN).
IEEE Trans. Neural Networks, 2001

Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN).
Neural Comput. Appl., 2001

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks.
Autom., 2001

A Genetic Approach for Two Dimensional Packing with Constraints.
Proceedings of the Computational Science - ICCS 2001, 2001

Minimal resource allocation network (MRAN) for magnetic recording channel equalization.
Proceedings of the IEEE International Conference on Acoustics, 2001

Reliable and robust H<sub>∞</sub> flight controller design for bank-angle tracking maneuver of a jet transport aircraft.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation.
Neural Process. Lett., 2000

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks.
Neural Process. Lett., 2000

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing.
Int. J. Neural Syst., 2000

Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks.
Proceedings of the IEEE International Conference on Networks 2000: Networking Trends and Challenges in the New Millennium, 2000

1999
A complex valued radial basis function network for equalization of fast time varying channels.
IEEE Trans. Neural Networks, 1999

Blind equalization using higher order statistics and neural networks: A comparative study.
Neural Parallel Sci. Comput., 1999

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic.
Proceedings of the Broadband Communications: Convergence of Network Technologies, 1999

1998
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm.
IEEE Trans. Neural Networks, 1998

Non-linear channel equalisation using minimal radial basis function neural networks.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Parallel architectures for artificial neural networks - paradigms and implementations.
IEEE, ISBN: 978-0-8186-8399-2, 1998

1997
Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers.
IEEE Trans. Syst. Man Cybern. Part B, 1997

A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks.
Neural Comput., 1997

Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network.
J. Intell. Fuzzy Syst., 1996

Extended nonlinear flight controller design for aircraft.
Autom., 1996

Adaptive nonlinear system identification using minimal radial basis function neural networks.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network.
Neural Parallel Sci. Comput., 1995

Analysis of training set parallelism for backpropagation neural networks.
Int. J. Neural Syst., 1995

1994
A study of parallel implementation of backpropagation neural networks on a transputer array.
Neural Parallel Sci. Comput., 1994

1987
Experimental evaluation of flexible structure identification using lattice filters.
Autom., 1987

1971
Sensitivity Reduction Method for Feedback Systems
PhD thesis, 1971


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