N. Sundararajan

45 papers B 2Journal 35Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076]. IFAC J. Syst. Control. Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan
2020	J	`jnl`	A rolling horizon optimization approach for dynamic airspace sectorization. IFAC J. Syst. Control. Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan
2020	J	`jnl`	Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. CoRR Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, N. Sundararajan, P. B. Sujit
2019	J	`jnl`	A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. Appl. Soft Comput. Subhrajit Samanta, Suresh Sundaram, J. Senthilnath, N. Sundararajan
2019	J	`jnl`	An efficient Meta-cognitive Fuzzy C-Means clustering approach. Appl. Soft Comput. S. V. Aruna Kumar, B. S. Harish, B. S. Mahanand, N. Sundararajan
2018	J	`jnl`	Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Inf. Sci. Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan
2016	J	`jnl`	A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. Expert Syst. Appl. A. K. Das, Suresh Sundaram, N. Sundararajan
2016	J	`jnl`	Development of a Self-Regulating Evolving Spiking Neural Network for classification problem. Neurocomputing Shirin Dora, K. Subramanian, Suresh Sundaram, N. Sundararajan
2016	J	`jnl`	Directionally Driven Self-Regulating Particle Swarm Optimization algorithm. Swarm Evol. Comput. Muhammad Rizwan Tanweer, R. Auditya, Suresh Sundaram, N. Sundararajan, N. Srikanth
2016	J	`jnl`	Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems. Inf. Sci. Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
2016	J	`jnl`	MSO: a framework for bound-constrained black-box global optimization algorithms. J. Glob. Optim. Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan
2015	J	`jnl`	A sequential learning algorithm for a spiking neural classifier. Appl. Soft Comput. Shirin Dora, Suresh Sundaram, N. Sundararajan
2015	B	`conf`	ASD detection in males using MRI- an age-group based study. IJCNN Vigneshwaran Senthilvel, Suresh Sundaram, B. S. Mahanand, N. Sundararajan
2014	B	`conf`	A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. IJCNN Shirin Dora, Suresh Sundaram, N. Sundararajan
2013	—	`conf`	Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier. CIMI Saras Saraswathi, B. S. Mahanand, Andrzej Kloczkowski, Suresh Sundaram, N. Sundararajan
2013	—	`conf`	Improved autolanding controller for aircraft encountering unknown actuator failures. CISDA Shaik Ismail, Abhay A. Pashilkar, Ramakalyan Ayyagari, N. Sundararajan
2012	J	`jnl`	A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. Neural Networks Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
2012	J	`jnl`	An on-line learning neural controller for helicopters performing highly nonlinear maneuvers. Appl. Soft Comput. Suresh Sundaram, N. Sundararajan
2012	J	`jnl`	Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems. Inf. Sci. Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
2012	J	`jnl`	Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network. Neural Networks B. S. Mahanand, Suresh Sundaram, N. Sundararajan, M. Aswatha Kumar
2012	J	`jnl`	Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. Neural Comput. Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
2011	J	`jnl`	An alternate and effective approach to Hilbert transform in geophysical applications. Comput. Geosci. N. Sundararajan, Ali Al-Lazki
2011	J	`jnl`	Extended sequential adaptive fuzzy inference system for classification problems. Evol. Syst. Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao
2011	—	`conf`	Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. ISNN (1) Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, Hyoung Joong Kim
2010	J	`jnl`	Performance enhancement of extreme learning machine for multi-category sparse data classification problems. Eng. Appl. Artif. Intell. Suresh Sundaram, Saras Saraswathi, N. Sundararajan
2009	J	`jnl`	A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm. Int. J. Neural Syst. Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
2009	J	`jnl`	A new learning algorithm with logarithmic performance index for complex-valued neural networks. Neurocomputing Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, P. Saratchandran
2008	J	`jnl`	TODGINV - A code for optimization of gravity anomalies due to anticlinal and synclinal structures with parabolic density contrast. Comput. Geosci. V. Chakravarthi, N. Sundararajan
2007	—	`conf`	Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings. ISIC Sriram Narasimha, Suresh Sundaram, N. Sundararajan
2007	J	`jnl`	INV2P5DSB - A code for gravity inversion of 2.5-D sedimentary basins using depth dependent density. Comput. Geosci. V. Chakravarthi, N. Sundararajan
2007	J	`jnl`	Improved GAP-RBF network for classification problems. Neurocomputing Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran
2007	J	`jnl`	Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran
2006	J	`jnl`	Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst. Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran
2005	J	`jnl`	Gravity modeling of 2 Comput. Geosci. V. Chakravarthi, N. Sundararajan
2005	J	`jnl`	INVGRAFALT-A Fortran code for Marquardt inversion of gravity anomalies of faulted beds with varying density. Comput. Geosci. V. Chakravarthi, N. Sundararajan
2004	J	`jnl`	Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth. Comput. Geosci. V. Chakravarthi, N. Sundararajan
2001	J	`jnl`	Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). IEEE Trans. Neural Networks Deng Jianping, N. Sundararajan, P. Saratchandran
2001	—	`conf`	Reliable and robust H CDC Jiong-Sang Yee, Jian Liang Wang, N. Sundararajan, Guang-Hong Yang
2000	—	`conf`	Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks. ICON Mohit Aiyar, Shefali Nagpal, N. Sundararajan, P. Saratchandran
1998	—	`book`	Parallel architectures for artificial neural networks - paradigms and implementations. N. Sundararajan, P. Saratchandran
1998	J	`jnl`	Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. IEEE Trans. Neural Networks Yingwei Lu, N. Sundararajan, P. Saratchandran
1997	—	`conf`	Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology. ICNN Shou King Foo, P. Saratchandran, N. Sundararajan
1996	J	`jnl`	Extended nonlinear flight controller design for aircraft. Autom. Jianliang Wang, N. Sundararajan
1996	J	`jnl`	Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network. J. Intell. Fuzzy Syst. Shou King Foo, P. Saratchandran, N. Sundararajan
1987	J	`jnl`	Experimental evaluation of flexible structure identification using lattice filters. Autom. N. Sundararajan