Narasimhan Sundararajan
Orcid: 0000-0002-6972-8775Affiliations:
- Nanyang Technological University, School of Computer Engineering, Singapore
According to our database1,
Narasimhan Sundararajan
authored at least 143 papers
between 1971 and 2024.
Collaborative distances:
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Bibliography
2024
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier.
IEEE Trans. Cybern., January, 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
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
CoRR, 2021
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense.
CoRR, 2021
2020
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
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
Inf. Sci., 2017
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
Swarm Evol. Comput., 2016
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
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
Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network.
Expert Syst. Appl., 2015
Appl. Soft Comput., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
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
Studies in Computational Intelligence 421, Springer, ISBN: 978-3-642-29490-7, 2013
IEEE Trans. Neural Networks Learn. Syst., 2013
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems.
IEEE Trans. Fuzzy Syst., 2013
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
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
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
Evol. Syst., 2011
Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
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
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
Math. Comput. Simul., 2009
A new learning algorithm with logarithmic performance index for complex-valued neural networks.
Neurocomputing, 2009
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
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
Inf. Sci., 2008
Neurocomputing, 2008
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
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
IEEE Trans. Neural Networks, 2006
IEEE Trans. Control. Syst. Technol., 2006
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Int. J. Neural Syst., 2006
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.
Fuzzy Sets Syst., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Ninth International Conference on Control, 2006
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
Neural Process. Lett., 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
Int. J. Neural Syst., 2004
Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth.
Comput. Geosci., 2004
2003
Neural Comput. Appl., 2003
Int. J. Neural Syst., 2003
Proceedings of the IEEE International Conference on Systems, 2003
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
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
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
Neural Process. Lett., 2000
Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks.
Neural Process. Lett., 2000
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
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
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
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
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
Autom., 1987
1971