Sensitivity Reduction Method for Feedback Systems - Narasimhan Sundararajan (1971)

Experimental evaluation of flexible structure identification using lattice filters. - N. Sundararajan 001 (Autom., 1987)

A study of parallel implementation of backpropagation neural networks on a transputer array. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Parallel Sci. Comput., 1994)

Analysis of training set parallelism for backpropagation neural networks. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (Int. J. Neural Syst., 1995)

Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Parallel Sci. Comput., 1995)

Adaptive nonlinear system identification using minimal radial basis function neural networks. - Yingwei Lu; Narasimhan Sundararajan; Paramasivan Saratchandran (ICASSP, 1996)

Extended nonlinear flight controller design for aircraft. - Jianliang Wang; N. Sundararajan 001 (Autom., 1996)

Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network. - Shou King Foo; P. Saratchandran; N. Sundararajan 001 (J. Intell. Fuzzy Syst., 1996)

Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology. - Shou King Foo; P. Saratchandran; N. Sundararajan 001 (ICNN, 1997)

A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. - Yingwei Lu; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Comput., 1997)

Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Syst. Man Cybern. Part B, 1997)

Parallel architectures for artificial neural networks - paradigms and implementations. - N. Sundararajan 001; P. Saratchandran (IEEE, 1998)

Non-linear channel equalisation using minimal radial basis function neural networks. - Palaniswamy Chandra Kumar; Paramasivan Saratchandran; Narasimhan Sundararajan (ICASSP, 1998)

Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. - Yingwei Lu; N. Sundararajan 001; P. Saratchandran (IEEE Trans. Neural Networks, 1998)

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic. - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Broadband Communications, 1999)

Blind equalization using higher order statistics and neural networks: A comparative study. - Li Rui; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Parallel Sci. Comput., 1999)

A complex valued radial basis function network for equalization of fast time varying channels. - Q. Gan; Paramasivan Saratchandran; Narasimhan Sundararajan; Krishnappa R. Subramanian (IEEE Trans. Neural Networks, 1999)

Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks. - Mohit Aiyar; Shefali Nagpal; N. Sundararajan 001; P. Saratchandran (ICON, 2000)

Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (IJCNN (5), 2000)

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (Int. J. Neural Syst., 2000)

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks. - Li Yan; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Process. Lett., 2000)

A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation. - Sun Yonghong; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Process. Lett., 2000)

Reliable and robust H∞ flight controller design for bank-angle tracking maneuver of a jet transport aircraft. - Jiong-Sang Yee; Jian Liang Wang; N. Sundararajan 001; Guang-Hong Yang (CDC, 2001)

Minimal resource allocation network (MRAN) for magnetic recording channel equalization. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (ICASSP, 2001)

A Genetic Approach for Two Dimensional Packing with Constraints. - Wee Sng Khoo; Paramasivan Saratchandran; Narasimhan Sundararajan (International Conference on Computational Science (2), 2001)

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks. - Yan Li; Narasimhan Sundararajan; P. Saratchandran (Autom., 2001)

Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). - Li Yan; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Comput. Appl., 2001)

Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). - Deng Jianping; N. Sundararajan 001; P. Saratchandran (IEEE Trans. Neural Networks, 2001)

Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems. - T. K. Leong; Paramasivan Saratchandran; Narasimhan Sundararajan (Comput. Electr. Eng., 2002)

ABR traffic management using minimal resource allocation (neural) networks. - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Comput. Commun., 2002)

Communication channel equalization using complex-valued minimal radial basis function neural networks. - Deng Jianping; Narasimhan Sundararajan; P. Saratchandran (IEEE Trans. Neural Networks, 2002)

Neuro-controllers for aircraft auto-landing under severe wind conditions. - Yan Li; Zhifeng Wang; Narasimhan Sundararajan; Paramasivan Saratchandran (ACC, 2003)

A sequential learning neural network for foreign exchange rate forecasting. - Minghui Hu 001; P. Saratchandran; Narasimhan Sundararajan (SMC, 2003)

Novel Neutral Network Approach to Call Admission Control in High-speed Networks. - Supeng Leng; Krishnappa R. Subramanian; Narasimhan Sundararajan; Paramasivan Saratchandran (Int. J. Neural Syst., 2003)

ATM congestion control using Minimal Resource Allocation Networks (MRAN). - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Comput. Appl., 2003)

An efficient sequential RBF network for bio-medical classification problems. - Runxuan Zhang; Narasimhan Sundararajan; Guang-Bin Huang; P. Saratchandran (IJCNN, 2004)

Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth. - V. Chakravarthi; N. Sundararajan 001 (Comput. Geosci., 2004)

Text-independent speaker verification using minimal resource allocation networks. - Li Guojie; Paramasivan Saratchandran; Narasimhan Sundararajan (Int. J. Neural Syst., 2004)

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. - Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Syst. Man Cybern. Part B, 2004)

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. - Runxuan Zhang; Narasimhan Sundararajan; Guang-Bin Huang; Paramasivan Saratchandran (CIBCB, 2005)

On-Line Sequential Extreme Learning Machine. - Guang-Bin Huang; Nan-Ying Liang; Hai-Jun Rong; Paramasivan Saratchandran; Narasimhan Sundararajan (Computational Intelligence, 2005)

Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water. - Ying Wang; Guang-Bin Huang; P. Saratchandran; Narasimhan Sundararajan (IJCNN, 2005)

INVGRAFALT-A Fortran code for Marquardt inversion of gravity anomalies of faulted beds with varying density. - V. Chakravarthi; N. Sundararajan 001 (Comput. Geosci., 2005)

Gravity modeling of 21/2-D sedimentary basins - a case of variable density contrast. - V. Chakravarthi; N. Sundararajan 001 (Comput. Geosci., 2005)

Fully complex extreme learning machine. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (Neurocomputing, 2005)

Performance Evaluation of GAP-RBF Network in Channel Equalization. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Process. Lett., 2005)

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation. - Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Neural Networks, 2005)

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding. - Hai-Jun Rong; Guang-Bin Huang; Narasimhan Sundararajan; Paramasivan Saratchandran (FUZZ-IEEE, 2006)

Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. - Suresh Sundaram 002; R. Venkatesh Babu; Narasimhan Sundararajan (ICARCV, 2006)

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (ISNN (2), 2006)

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. - Hai-Jun Rong; N. Sundararajan 001; Guang-Bin Huang; P. Saratchandran (Fuzzy Sets Syst., 2006)

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. - Nan-Ying Liang; Paramasivan Saratchandran; Guang-Bin Huang; Narasimhan Sundararajan (Int. J. Neural Syst., 2006)

Can threshold networks be trained directly? - Guang-Bin Huang; Qin-Yu Zhu; Kezhi Mao; Chee Kheong Siew; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Adaptive back-stepping neural controller for reconfigurable flight control systems. - A. A. Pashilkar; Narasimhan Sundararajan; Paramasivan Saratchandran (IEEE Trans. Control. Syst. Technol., 2006)

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. - Nan-Ying Liang; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Neural Networks, 2006)

Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings. - Sriram Narasimha; Suresh Sundaram 002; N. Sundararajan 001 (ISIC, 2007)

INV2P5DSB - A code for gravity inversion of 2.5-D sedimentary basins using depth dependent density. - V. Chakravarthi; N. Sundararajan 001 (Comput. Geosci., 2007)

Improved GAP-RBF network for classification problems. - Runxuan Zhang; Guang-Bin Huang; N. Sundararajan 001; P. Saratchandran (Neurocomputing, 2007)

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. - Runxuan Zhang; Guang-Bin Huang; N. Sundararajan 001; P. Saratchandran (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (IJCNN, 2008)

TODGINV - A code for optimization of gravity anomalies due to anticlinal and synclinal structures with parabolic density contrast. - V. Chakravarthi; N. Sundararajan 001 (Comput. Geosci., 2008)

Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft. - Suresh Sundaram 002; N. Kannan; Narasimhan Sundararajan; Paramasivan Saratchandran (Int. J. Neural Syst., 2008)

A sequential multi-category classifier using radial basis function networks. - Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (Neurocomputing, 2008)

Risk-sensitive loss functions for sparse multi-category classification problems. - Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (Inf. Sci., 2008)

Fuzzy-neuro fault-tolerant control schemes for aircraft autolanding under actuator failures. - Hai-Jun Rong; Narasimhan Sundararajan (CISDA, 2009)

Bio-inspired computing for launch vehicle design and trajectory optimization. - Suresh Sundaram 002; Hai-Jun Rong; Narasimhan Sundararajan (CISDA, 2009)

Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan (IJCNN, 2009)

A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001 (Int. J. Neural Syst., 2009)

A new learning algorithm with logarithmic performance index for complex-valued neural networks. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001; P. Saratchandran (Neurocomputing, 2009)

A new load distribution strategy for linear network with communication delays. - Suresh Sundaram 002; V. Mani; S. N. Omkar 001; Hyoung Joong Kim; Narasimhan Sundararajan (Math. Comput. Simul., 2009)

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems. - Hai-Jun Rong; Guang-Bin Huang; Narasimhan Sundararajan; Paramasivan Saratchandran (IEEE Trans. Syst. Man Cybern. Part B, 2009)

An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies. - Sureshkumar Chandrasekar; Suresh Sundaram 002; Narasimhan Sundararajan; Narayanaswamy Nagarajan (ICARCV, 2010)

Classification of abnormalities in digitized mammograms using Extreme Learning Machine. - Gopalan Vani; Ramaswamy Savitha; Narasimhan Sundararajan (ICARCV, 2010)

A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan (IJCNN, 2010)

Performance enhancement of extreme learning machine for multi-category sparse data classification problems. - Suresh Sundaram 002; Saras Saraswathi; N. Sundararajan 001 (Eng. Appl. Artif. Intell., 2010)

Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. - B. S. Mahanand; Suresh Sundaram 002; Narasimhan Sundararajan; M. Aswatha Kumar (IJCNN, 2011)

A fast learning Fully Complex-valued Relaxation Network (FCRN). - Suresh Sundaram 002; Ramaswamy Savitha; Narasimhan Sundararajan (IJCNN, 2011)

Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001; Hyoung Joong Kim (ISNN (1), 2011)

Extended sequential adaptive fuzzy inference system for classification problems. - Hai-Jun Rong; N. Sundararajan 001; Guang-Bin Huang; Guang-She Zhao (Evol. Syst., 2011)

An alternate and effective approach to Hilbert transform in geophysical applications. - N. Sundararajan 001; Ali Al-Lazki (Comput. Geosci., 2011)

ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented. - Saras Saraswathi; Suresh Sundaram 002; Narasimhan Sundararajan; Michael T. Zimmermann; Marit Nilsen-Hamilton (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN. - Suresh Sundaram 002; Ramaswamy Savitha; Narasimhan Sundararajan (IEEE Trans. Neural Networks, 2011)

An on-line learning neural controller for helicopters performing highly nonlinear maneuvers. - Suresh Sundaram 002; N. Sundararajan 001 (Appl. Soft Comput., 2012)

A fully complex-valued radial basis function classifier for real-valued classification problems. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan; Hyoung Joong Kim (Neurocomputing, 2012)

Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001 (Inf. Sci., 2012)

Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001 (Neural Comput., 2012)

Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network. - B. S. Mahanand; Suresh Sundaram 002; N. Sundararajan 001; M. Aswatha Kumar (Neural Networks, 2012)

A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001 (Neural Networks, 2012)

Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier. - Saras Saraswathi; B. S. Mahanand; Andrzej Kloczkowski; Suresh Sundaram 002; N. Sundararajan 001 (CIMI, 2013)

Improved autolanding controller for aircraft encountering unknown actuator failures. - Shaik Ismail; Abhay A. Pashilkar; Ramakalyan Ayyagari; N. Sundararajan 001 (CISDA, 2013)

Design of a nonlinear dynamic inversion controller for trajectory following and maneuvering for fixed wing aircraft. - Abhay A. Pashilkar; Shaik Ismail; Ramakalyan Ayyagari; Narasimhan Sundararajan (CISDA, 2013)

Fast learning complex-valued classifiers for real-valued classification problems. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan (Int. J. Mach. Learn. Cybern., 2013)

A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems. - Kartick Subramanian; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Fuzzy Syst., 2013)

Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Neural Networks Learn. Syst., 2013)

Supervised Learning with Complex-valued Neural Networks - Suresh Sundaram 002; Narasimhan Sundararajan; Ramaswamy Savitha (Springer, 2013)

A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. - Shirin Dora; Suresh Sundaram 002; N. Sundararajan 001 (IJCNN, 2014)

Human meta-cognition inspired collaborative search algorithm for optimization. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; Narasimhan Sundararajan (MFI, 2014)

Mentoring based particle swarm optimization algorithm for faster convergence. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; Narasimhan Sundararajan (CEC, 2015)

Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; Narasimhan Sundararajan (CEC, 2015)

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan; K. Subramanian 001 (FUZZ-IEEE, 2015)

A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. - Shirin Dora; Suresh Sundaram 002; Narasimhan Sundararajan (IJCNN, 2015)

Using regional homogeneity from functional MRI for diagnosis of ASD among males. - Vigneshwaran Senthilvel; B. S. Mahanand; Suresh Sundaram 002; Narasimhan Sundararajan (IJCNN, 2015)

ASD detection in males using MRI- an age-group based study. - Vigneshwaran Senthilvel; Suresh Sundaram 002; B. S. Mahanand; N. Sundararajan 001 (IJCNN, 2015)

A sequential learning algorithm for a spiking neural classifier. - Shirin Dora; Suresh Sundaram 002; N. Sundararajan 001 (Appl. Soft Comput., 2015)

Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network. - Vigneshwaran Subbaraju; Suresh Sundaram 002; Narasimhan Sundararajan; Mahanand Belathur Suresh (Expert Syst. Appl., 2015)

Self regulating particle swarm optimization algorithm. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; Narasimhan Sundararajan (Inf. Sci., 2015)

Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach. - A. K. Das 002; Tan Teck Leong; Suresh Sundaram 002; Narasimhan Sundararajan (FUZZ-IEEE, 2016)

A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan (FUZZ-IEEE, 2016)

A robust interval Type-2 Fuzzy Inference based BCI system. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan (SMC, 2016)

A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. - A. K. Das 002; Suresh Sundaram 002; N. Sundararajan 001 (Expert Syst. Appl., 2016)

Development of a Self-Regulating Evolving Spiking Neural Network for classification problem. - Shirin Dora; K. Subramanian 001; Suresh Sundaram 002; N. Sundararajan 001 (Neurocomputing, 2016)

Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; N. Sundararajan 001 (Inf. Sci., 2016)

MSO: a framework for bound-constrained black-box global optimization algorithms. - Abdullah Al-Dujaili; Suresh Sundaram 002; N. Sundararajan 001 (J. Glob. Optim., 2016)

Directionally Driven Self-Regulating Particle Swarm Optimization algorithm. - Muhammad Rizwan Tanweer; R. Auditya; Suresh Sundaram 002; N. Sundararajan 001; N. Srikanth (Swarm Evol. Comput., 2016)

A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI. - Ankit Kumar Das; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Fuzzy Syst., 2016)

Development of a Higher Order Cognitive Optimization algorithm. - Muhammad Rizwan Tanweer; Suresh Sundaram 002; Narasimhan Sundararajan (CEC, 2017)

Online Meta-neuron based Learning Algorithm for a spiking neural classifier. - Shirin Dora; Suresh Sundaram 002; Narasimhan Sundararajan (Inf. Sci., 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. - Vigneshwaran Subbaraju; Mahanand Belathur Suresh; Suresh Sundaram 002; Narasimhan Sundararajan (Medical Image Anal., 2017)

Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI). - Abhay M. S. Aradhya; Vigneshwaran Subbaraju; Suresh Sundaram 002; Narasimhan Sundararajan (EMBC, 2018)

Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. - Cheryl Sze Yin Wong; Abdullah Al-Dujaili; Suresh Sundaram 002; N. Sundararajan 001 (Inf. Sci., 2018)

An efficient Meta-cognitive Fuzzy C-Means clustering approach. - S. V. Aruna Kumar; B. S. Harish; B. S. Mahanand; N. Sundararajan 001 (Appl. Soft Comput., 2019)

A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. - Subhrajit Samanta; Suresh Sundaram 002; J. Senthilnath 001; N. Sundararajan 001 (Appl. Soft Comput., 2019)

Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder. - Vasily Sachnev; Suresh Sundaram 002; Narasimhan Sundararajan; Belathur Suresh Mahanand; Muhammad W. Azeem; Saras Saraswathi (Cogn. Comput., 2019)

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (CoRR, 2019)

An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network. - Shirin Dora; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Cybern., 2019)

CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations. - Cheryl Sze Yin Wong; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Intell. Transp. Syst., 2019)

SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification. - Abeegithan Jeyasothy; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Neural Networks Learn. Syst., 2019)

Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. - Nishant Mohanty; Mohitvishnu S. Gadde; Suresh Sundaram 002; N. Sundararajan 001; P. B. Sujit (CoRR, 2020)

Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle. - Jinraj V. Pushpangathan; Harikumar Kandath 001; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2020)

A rolling horizon optimization approach for dynamic airspace sectorization. - Cheryl Sze Yin Wong; Suresh Sundaram 002; N. Sundararajan 001 (IFAC J. Syst. Control., 2020)

A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense. - Shridhar Velhal; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2021)

Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles. - Sauranil Debarshi; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2021)

Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities. - Abhay M. S. Aradhya; Vigneshwaran Subbaraju; Suresh Sundaram 002; Narasimhan Sundararajan (Expert Syst. Appl., 2021)

Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076]. - Cheryl Sze Yin Wong; Suresh Sundaram 002; N. Sundararajan 001 (IFAC J. Syst. Control., 2021)

Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images. - Aniruddh Sikdar; Sumanth Udupa; Suresh Sundaram 002; Narasimhan Sundararajan (SSCI, 2022)

An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. - Jayabrata Chowdhury; Suresh Sundaram 002; Nishanth Rao; Narasimhan Sundararajan (CoRR, 2022)

Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images. - Aniruddh Sikdar; Sumanth Udupa; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2022)

Robust EMRAN-aided coupled controller for autonomous vehicles. - Sauranil Debarshi; Suresh Sundaram 002; Narasimhan Sundararajan (Eng. Appl. Artif. Intell., 2022)

Dynamic Resource Allocation With Decentralized Multi-Task Assignment Approach for Perimeter Defense Problem. - Shridhar Velhal; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Aerosp. Electron. Syst., 2022)

A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense. - Shridhar Velhal; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Robotics, 2022)

Robust Simultaneously Stabilizing Decoupling Output Feedback Controllers for Unstable Adversely Coupled Nano Air Vehicles. - Jinraj V. Pushpangathan; Harikumar Kandath 001; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving. - Jayabrata Chowdhury; Vishruth Veerendranath; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2023)

Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem. - Shridhar Velhal; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2023)

A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection. - Vasily Sachnev; Narasimhan Sundararajan; Suresh Sundaram 002 (Cogn. Comput., 2023)

A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids. - Neethu Maya; Bala Kameshwar Poolla; Seshadhri Srinivasan; Narasimhan Sundararajan; Suresh Sundaram 002 (ISGT Asia, 2024)

An efficient reinforcement learning scheme for the confinement escape problem. - Vignesh Gurumurthy; Nishant Mohanty; Suresh Sundaram 002; Narasimhan Sundararajan (Appl. Soft Comput., 2024)

Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (IEEE Trans. Cybern., 2024)

Heli-Quad Design for Full-Attitude Fault-Tolerant Control Under Complete Failure of an Actuator. - Eeshan Kulkarni; Narasimhan Sundararajan; Suresh Sundaram 002 (Unmanned Syst., 2024)