![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Suresh Sundaram 0002
Person information
- affiliation: Indian Institute of Science, Department of Aerospace Engineering, Bengaluru, India
- affiliation (former): Nanyang Technological University, Singapore
Other persons with the same name
- Suresh Sundaram — disambiguation page
- Suresh Sundaram 0001
— Indian Institute of Technology Guwahati, Guwahati, India
- Suresh Sundaram 0003 — Indian Institute of Science, WIRIN Autonomous Systems and Robotics Lab, Bangalore, India
- Suresh Sundaram 0004
— Georgia Tech Lorraine, CNRS, UMI 2958, Metz, France
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j112]Vignesh Gurumurthy
, Nishant Mohanty
, Suresh Sundaram, Narasimhan Sundararajan:
An efficient reinforcement learning scheme for the confinement escape problem. Appl. Soft Comput. 152: 111248 (2024) - [j111]Abeegithan Jeyasothy
, Savitha Ramasamy, Suresh Sundaram:
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. Appl. Soft Comput. 161: 111747 (2024) - [j110]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): 3-12 (2024) - [j109]Josy John
, K. Harikumar
, J. Senthilnath
, Suresh Sundaram
:
An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2860-2871 (2024) - [j108]J. Senthilnath
, K. Harikumar
, Suresh Sundaram
:
Metacognitive Decision-Making Framework for Multi-UAV Target Search Without Communication. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3195-3206 (2024) - [c115]Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, P. B. Sujit:
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. AAAI 2024: 11606-11614 - [i33]Jayabrata Chowdhury, Venkataramanan Shivaraman, Sumit Dangi, Suresh Sundaram, P. B. Sujit:
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment. CoRR abs/2407.08932 (2024) - 2023
- [j107]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): 751-764 (2023) - [j106]Harikumar Kandath
, Md Meftahul Ferdaus
, Zhen Wei Ng
, Bangjian Zhou
, Suresh Sundaram
, Xiaoli Li
, Senthilnath Jayavelu
:
PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. 215: 119414 (2023) - [j105]Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu
, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack:
A decentralized learning strategy to restore connectivity during multi-agent formation control. Neurocomputing 520: 33-45 (2023) - [j104]Nishanth Rao
, Suresh Sundaram
:
Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8800-8811 (2023) - [j103]Shamima Rashid
, Suresh Sundaram
, Chee Keong Kwoh
:
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 955-966 (2023) - [c114]Poornima J. D
, Raghu Krishnapuram
, Mukunda Bharatheesha
, Bharadwaj Amrutur
, Suresh Sundaram
:
Robust and Scalable Indoor Robot Localization Based on Fusion of Infrastructure Camera Feeds and On-Board Sensors. AIR 2023: 41:1-41:7 - [c113]Nishanth Rao, Suresh Sundaram, Varun Raghavendra:
Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-denied operation of Micro-UAV. CoDIT 2023: 1894-1899 - [c112]Aniruddh Sikdar, Sumanth Udupa, Prajwal Gurunath, Suresh Sundaram:
DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery. CVPR Workshops 2023: 487-496 - [c111]Nishanth Rao, Suresh Sundaram, Pushpak Jagtap:
Temporal Waypoint Navigation of Multi-UAV Payload System using Barrier Functions. ECC 2023: 1-6 - [c110]Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram:
Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP 2023: 1-5 - [c109]Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram:
Fully Complex-Valued Deep Learning Model for Visual Perception. ICASSP 2023: 1-5 - [c108]Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram, Qinggang Meng:
Learning to Classify Faster Using Spiking Neural Networks. IJCNN 2023: 1-8 - [i32]Shridhar Velhal, Srikrishna B. R, Mukunda Bharatheesha, Suresh Sundaram:
A Dynamic Heterogeneous Team-based Non-iterative Approach for Online Pick-up and Just-In-Time Delivery Problems. CoRR abs/2304.07124 (2023) - [i31]Mohammed Thousif, Shridhar Velhal, Suresh Sundaram, Shirin Dora:
A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem. CoRR abs/2305.16748 (2023) - [i30]Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram, Narasimhan Sundararajan:
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving. CoRR abs/2306.09055 (2023) - [i29]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem. CoRR abs/2307.09954 (2023) - [i28]Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram:
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation. CoRR abs/2311.18331 (2023) - [i27]Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram:
Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic Segmentation. CoRR abs/2312.02240 (2023) - [i26]Rajini Makam, Pruthviraj Mane, Suresh Sundaram, P. B. Sujit:
A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle. CoRR abs/2312.02690 (2023) - [i25]Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, P. B. Sujit:
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning. CoRR abs/2312.05784 (2023) - 2022
- [j102]Sauranil Debarshi
, Suresh Sundaram, Narasimhan Sundararajan:
Robust EMRAN-aided coupled controller for autonomous vehicles. Eng. Appl. Artif. Intell. 110: 104717 (2022) - [j101]Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama
, Rodrigo Fernandes de Mello, Suresh Sundaram:
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. Inf. Sci. 607: 638-653 (2022) - [j100]Vidyadhara B. V
, Lima Agnel Tony
, Mohitvishnu S. Gadde, Shuvrangshu Jana
, Varun V. P., Aashay Anil Bhise, Suresh Sundaram
, Debasish Ghose
:
Design and integration of a drone based passive manipulator for capturing flying targets. Robotica 40(7): 2349-2364 (2022) - [j99]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): 3313-3325 (2022) - [j98]J. Senthilnath
, Abhishek Kumar, Anurag Jain
, K. Harikumar, Meenakumari Thapa, Suresh Sundaram, Gautham Anand, Jón Atli Benediktsson
:
BS-McL: Bilevel Segmentation Framework With Metacognitive Learning for Detection of the Power Lines in UAV Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j97]Shridhar Velhal
, Suresh Sundaram
, Narasimhan Sundararajan
:
A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense. IEEE Trans. Robotics 38(5): 3085-3096 (2022) - [j96]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): 1003-1013 (2022) - [c107]Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy:
Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. EMNLP (Findings) 2022: 6127-6140 - [c106]Abhay M. S. Aradhya, Gaurav Sharma, Mahardhika Pratama
, Suresh Sundaram:
Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. SSCI 2022: 206-210 - [c105]Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan:
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images. SSCI 2022: 581-587 - [i24]Nishanth Rao, Suresh Sundaram:
Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. CoRR abs/2201.13033 (2022) - [i23]Jayabrata Chowdhury
, Suresh Sundaram, Nishanth Rao, Narasimhan Sundararajan:
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. CoRR abs/2205.10092 (2022) - [i22]Nishanth Rao, Suresh Sundaram:
An Input-Output Feedback Linearization based Exponentially Stable Controller for Multi-UAV Payload Transport. CoRR abs/2207.04375 (2022) - [i21]Shridhar Velhal
, Krishna Kishore VS, Suresh Sundaram:
A Non-iterative Spatio-temporal Multi-task Assignments based Collision-free Trajectories for Music Playing Robots. CoRR abs/2210.07653 (2022) - [i20]Josy John, K. Harikumar, J. Senthilnath, Suresh Sundaram:
An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting. CoRR abs/2211.01958 (2022) - [i19]Nishanth Rao, Suresh Sundaram, Varun Raghavendra:
Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-Denied operation of Micro UAV. CoRR abs/2211.06548 (2022) - [i18]Nishanth Rao, Suresh Sundaram, Pushpak Jagtap:
Temporal Waypoint Navigation of Multi-UAV Payload System using Barrier Functions. CoRR abs/2211.14261 (2022) - [i17]Sumanth Udupa, Aniruddh Sikdar, Suresh Sundaram:
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification. CoRR abs/2212.07039 (2022) - [i16]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 abs/2212.07084 (2022) - [i15]Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram:
Fully complex-valued deep learning model for visual perception. CoRR abs/2212.07146 (2022) - 2021
- [j95]Chandan Gautam
, Aruna Tiwari
, Pratik K. Mishra
, Suresh Sundaram, Alexandros Iosifidis
, Muhammad Tanveer:
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13(2): 552-569 (2021) - [j94]Abeegithan Jeyasothy, Savitha Ramasamy
, Suresh Sundaram:
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. Expert Syst. Appl. 178: 114985 (2021) - [j93]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: 115074 (2021) - [j92]J. Senthilnath
, Sushant Kulkarni, Suresh Sundaram, Xin-She Yang
, Jón Atli Benediktsson:
FPA clust: evaluation of the flower pollination algorithm for data clustering. Evol. Intell. 14(3): 1189-1199 (2021) - [j91]Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan:
Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076]. IFAC J. Syst. Control. 17: 100165 (2021) - [j90]Subhrajit Samanta
, Mahardhika Pratama
, Suresh Sundaram
:
Bayesian Neuro-Fuzzy Inference System for Temporal Dependence Estimation. IEEE Trans. Fuzzy Syst. 29(9): 2479-2490 (2021) - [j89]Chandan Gautam
, Aruna Tiwari
, Suresh Sundaram
, Kapil Ahuja
:
Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1917-1932 (2021) - [c104]Nishanth Rao, Suresh Sundaram:
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. IJCNN 2021: 1-8 - [i14]Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense. CoRR abs/2102.07381 (2021) - [i13]Nishanth Rao, Suresh Sundaram:
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. CoRR abs/2102.12070 (2021) - [i12]Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan:
Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles. CoRR abs/2106.11716 (2021) - 2020
- [j88]Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan:
A rolling horizon optimization approach for dynamic airspace sectorization. IFAC J. Syst. Control. 11: 100076 (2020) - [j87]Subhrajit Samanta, Mahardhika Pratama
, Suresh Sundaram
, Narasimalu Srikanth:
Learning elastic memory online for fast time series forecasting. Neurocomputing 390: 315-326 (2020) - [j86]K. Harikumar
, J. Senthilnath
, Suresh Sundaram
:
Mission Aware Motion Planning (MAP) Framework With Physical and Geographical Constraints for a Swarm of Mobile Stations. IEEE Trans. Cybern. 50(3): 1209-1219 (2020) - [j85]Mainak Dan
, Seshadhri Srinivasan
, Suresh Sundaram
, Arvind Easwaran
, Luigi Glielmo
:
A Scenario-Based Branch-and-Bound Approach for MES Scheduling in Urban Buildings. IEEE Trans. Ind. Informatics 16(12): 7510-7520 (2020) - [c103]Abhay M. S. Aradhya, Suresh Sundaram, Mahardhika Pratama
:
Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI. EMBC 2020: 2829-2832 - [c102]Pranav Machingal, Mohammed Thousif, Shirin Dora
, Suresh Sundaram:
Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. IJCNN 2020: 1-7 - [c101]Subhrajit Samanta, Mahardhika Pratama
, Suresh Sundaram, Narasimalu Srikanth:
A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. IJCNN 2020: 1-8 - [i11]Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, N. Sundararajan, P. B. Sujit:
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. CoRR abs/2001.11710 (2020) - [i10]Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram, Arvind Easwaran, Luigi Glielmo:
A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings. CoRR abs/2003.03750 (2020) - [i9]Shridhar Velhal, Suresh Sundaram:
Restricted Airspace Protection using Multi-UAV Spatio-TemporalMulti-Task Allocation. CoRR abs/2011.11247 (2020) - [i8]Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram, Narasimhan Sundararajan:
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle. CoRR abs/2012.06756 (2020)
2010 – 2019
- 2019
- [j84]Subhrajit Samanta, Suresh Sundaram
, J. Senthilnath
, N. Sundararajan:
A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. Appl. Soft Comput. 82 (2019) - [j83]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): 545-559 (2019) - [j82]Subhrajit Samanta, Mahardhika Pratama
, Suresh Sundaram
:
A novel Spatio-Temporal Fuzzy Inference System (SPATFIS) and its stability analysis. Inf. Sci. 505: 84-99 (2019) - [j81]Abdullah Al-Dujaili, Suresh Sundaram:
Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis. J. Glob. Optim. 73(3): 659-673 (2019) - [j80]K. Harikumar
, Titas Bera, Rajarshi Bardhan, Suresh Sundaram:
Discrete-time sliding mode observer for the state estimation of a manoeuvring target. J. Syst. Control. Eng. 233(7) (2019) - [j79]Nguyen Anh, Suresh Sundaram, Mahardhika Pratama
, Narasimalu Srikanth:
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system. Knowl. Based Syst. 169: 28-38 (2019) - [j78]K. Harikumar
, Senthilnath Jayavelu
, Suresh Sundaram
:
Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting. IEEE Trans Autom. Sci. Eng. 16(2): 863-873 (2019) - [j77]Shirin Dora
, Suresh Sundaram
, Narasimhan Sundararajan
:
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network. IEEE Trans. Cybern. 49(3): 989-999 (2019) - [j76]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): 1659-1668 (2019) - [j75]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): 1231-1240 (2019) - [c100]Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama:
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. AAAI 2019: 2556-2563 - [c99]Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama
, Suresh Sundaram, Narasimalu Srikanth:
RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. IJCNN 2019: 1-8 - [i7]Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram:
Efficient single input-output layer spiking neural classifier with time-varying weight model. CoRR abs/1904.10400 (2019) - [i6]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 abs/1904.11367 (2019) - [i5]Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram:
Robust simultaneous stabilization and decoupling of unstable adversely coupled uncertain resource constraints plants of a nano air vehicle. CoRR abs/1905.00324 (2019) - 2018
- [j74]Mahardhika Pratama
, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa:
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. 72: 552-554 (2018) - [j73]K. Harikumar, Titas Bera, Rajarshi Bardhan, Suresh Sundaram:
Cooperative obstacle avoidance for heterogeneous unmanned systems during search mission. Encycl. Semantic Comput. Robotic Intell. 2(1): 1850002:1-1850002:8 (2018) - [j72]J. Senthilnath, K. Harikumar, Suresh Sundaram:
Efficient resource allocation for decentralized heterogeneous system using density estimation approach. Encycl. Semantic Comput. Robotic Intell. 2(1): 1850008:1-1850008:7 (2018) - [j71]Abdullah Al-Dujaili, Suresh Sundaram
:
Multi-Objective Simultaneous Optimistic Optimization. Inf. Sci. 424: 159-174 (2018) - [j70]Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram
, N. Sundararajan:
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Inf. Sci. 454-455: 1-15 (2018) - [c98]Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng:
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 2018: 463-464 - [c97]K. Harikumar, Titas Bera, Rajarshi Bardhan, Suresh Sundaram:
State Estimation of an Agile Target using Discrete Sliding Mode Observer. CoDIT 2018: 75-79 - [c96]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: 5541-5544 - [c95]Cheryl Sze Yin Wong, Suresh Sundaram:
Preference-based 3-dimensional en-route airspace sectorization. GECCO 2018: 769-776 - [c94]Mukesh Prasad
, Liang-Cheng Chang, Deepak Gupta
, Mahardhika Pratama
, Suresh Sundaram, Chin-Teng Lin
:
Online video streaming for human tracking based on weighted resampling particle filter. INNS Conference on Big Data 2018: 2-12 - [c93]Mukesh Prasad
, Ding-Rong Zheng, Domingo Mery
, Deepak Puthal, Suresh Sundaram, Chin-Teng Lin
:
A fast and self-adaptive on-line learning detection system. INNS Conference on Big Data 2018: 13-22 - [c92]Nguyen Anh, Mukesh Prasad
, Narasimalu Srikanth, Suresh Sundaram:
Wind Speed Intervals Prediction using Meta-cognitive Approach. INNS Conference on Big Data 2018: 23-32 - [c91]Nguyen Anh, Mukesh Prasad
, Narasimalu Srikanth, Suresh Sundaram:
Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System. INNS Conference on Big Data 2018: 33-41 - [c90]Senthilnath Jayavelu
, Harikumar Kandath, Suresh Sundaram:
Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach. IRC 2018: 165-166 - [c89]Harikumar Kandath, Titas Bera, Rajarshi Bardhan, Suresh Sundaram:
Autonomous Navigation and Sensorless Obstacle Avoidance for UGV with Environment Information from UAV. IRC 2018: 266-269 - [c88]Harikumar Kandath, Senthilnath Jayavelu
, Suresh Sundaram:
Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. SSCI 2018: 1461-1465 - [c87]Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram:
A Hybrid Cross-Entropy Guided Genetic Algorithm for Scheduling Multi-Energy Systems. SSCI 2018: 1807-1814 - [c86]Subhrajit Samanta, Shubhangi Ghosh, Suresh Sundaram:
A Meta-cognitive Recurrent Fuzzy Inference System with Memory Neurons (McRFIS-MN) and its Fast Learning Algorithm for Time Series Forecasting. SSCI 2018: 2231-2237 - [i4]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis:
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR abs/1805.07808 (2018) - 2017
- [j69]Shirin Dora
, Suresh Sundaram, Narasimhan Sundararajan:
Online Meta-neuron based Learning Algorithm for a spiking neural classifier. Inf. Sci. 414: 19-32 (2017) - [j68]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: 375-389 (2017) - [c85]Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. AAAI 2017: 758-764 - [c84]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Development of a Higher Order Cognitive Optimization algorithm. CEC 2017: 2752-2758 - [c83]Prabhash Kumarasinghe, Suresh Sundaram:
OMKT: Projection based bounded on-line multiple kernel tracker. IJCNN 2017: 2857-2864 - [c82]Adhikari Ashutosh, Ramasamy Savitha
, Suresh Sundaram:
Comprehensive study of features for subject-independent emotion recognition. IJCNN 2017: 3114-3121 - [c81]Prabhash Kumarasinghe, Suresh Sundaram, Vigneshwaran Subbaraju
:
MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI. IJCNN 2017: 4541-4548 - [c80]Kuang-Pen Chou, Mukesh Prasad
, Deepak Gupta
, Sharmi Sankar, Ting-Wei Xu, Suresh Sundaram, Chin-Teng Lin
, Wen-Chieh Lin:
Block-based feature extraction model for early fire detection. SSCI 2017: 1-8 - [c79]Kuang-Pen Chou, Mukesh Prasad
, Deepak Puthal, Ping-Hung Chen, Dinesh Kumar Vishwakarma, Suresh Sundaram, Chin-Teng Lin
, Wen-Chieh Lin:
Fast Deformable Model for Pedestrian Detection with Haar-like features. SSCI 2017: 1-8 - [i3]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja:
Online Learning with Regularized Kernel for One-class Classification. CoRR abs/1701.04508 (2017) - [i2]Titas Bera, Debasish Ghose, Suresh Sundaram:
Asymptotic Optimality of Rapidly Exploring Random Tree. CoRR abs/1707.03976 (2017) - 2016
- [j67]Shamima Rashid, Saras Saraswathi, Andrzej Kloczkowski, Suresh Sundaram, Andrzej Kolinski
:
Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach. BMC Bioinform. 17: 362 (2016) - [j66]A. K. Das, Suresh Sundaram
, N. Sundararajan:
A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. Expert Syst. Appl. 64: 375-384 (2016) - [j65]A. K. Das, Nguyen Anh, Suresh Sundaram, Narasimalu Srikanth:
An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm. Evol. Syst. 7(2): 95-105 (2016) - [j64]Shirin Dora
, K. Subramanian, Suresh Sundaram
, N. Sundararajan:
Development of a Self-Regulating Evolving Spiking Neural Network for classification problem. Neurocomputing 171: 1216-1229 (2016) - [j63]Muhammad Rizwan Tanweer, Suresh Sundaram
, N. Sundararajan:
Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems. Inf. Sci. 326: 1-24 (2016) - [j62]Abdullah Al-Dujaili, Suresh Sundaram
:
A Naive multi-scale search algorithm for global optimization problems. Inf. Sci. 372: 294-312 (2016) - [j61]Vasily Sachnev, Suresh Sundaram:
An ADHD Diagnostic Approach Based on Binary-Coded Genetic Algorithm and Extreme Learning Machine. J. Comput. Sci. Eng. 10(4) (2016) - [j60]Vasiliy Sachnev, Suresh Sundaram:
An Improved Sample Balanced Genetic Algorithm and Extreme Learning Machine for Accurate Alzheimer Disease Diagnosis. J. Comput. Sci. Eng. 10(4) (2016) - [j59]Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan:
MSO: a framework for bound-constrained black-box global optimization algorithms. J. Glob. Optim. 66(4): 811-845 (2016) - [j58]Muhammad Rizwan Tanweer, R. Auditya, Suresh Sundaram
, N. Sundararajan, N. Srikanth:
Directionally Driven Self-Regulating Particle Swarm Optimization algorithm. Swarm Evol. Comput. 28: 98-116 (2016) - [j57]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): 1565-1577 (2016) - [c78]Abdullah Al-Dujaili, Suresh Sundaram:
Dividing rectangles attack multi-objective optimization. CEC 2016: 3606-3613 - [c77]Abdullah Al-Dujaili, Suresh Sundaram:
Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds. CEC 2016: 4988-4995 - [c76]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: 751-758 - [c75]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: 2501-2507 - [c74]Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram:
Hypervolume-Based DIRECT for Multi-Objective Optimisation. GECCO (Companion) 2016: 1201-1208 - [c73]Abdullah Al-Dujaili, Suresh Sundaram:
A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study. GECCO (Companion) 2016: 1209-1216 - [c72]R. Shamima, Suresh Sundaram:
Prediction of membrane protein structures using a Projection based Meta-cognitive Radial Basis Function Network. IJCNN 2016: 1229-1235 - [c71]G. Sateesh Babu
, Xiaoli Li
, Suresh Sundaram:
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation. IJCNN 2016: 4803-4810 - [c70]A. K. Das, Suresh Sundaram, Narasimhan Sundararajan:
A robust interval Type-2 Fuzzy Inference based BCI system. SMC 2016: 4176-4181 - [c69]Ramasamy Savitha
, Kit Yan Chan, Phyo Phyo San, Sai-Ho Ling, Suresh Sundaram:
A hybrid Deep Boltzmann Functional Link Network for classification problems. SSCI 2016: 1-6 - [c68]Muhammad Rizwan Tanweer, Abdullah Al-Dujaili, Suresh Sundaram:
Multi-Objective Self Regulating Particle Swarm Optimization algorithm for BMOBench platform. SSCI 2016: 1-6 - [c67]Cheryl Sze Yin Wong, Suresh Sundaram:
Preliminary study: Qualitative indicators in multi-objective DIRECT framework. SSCI 2016: 1-7 - [c66]Cheryl Sze Yin Wong, T. K. Venugopalan, Suresh Sundaram:
A multi-objective approach for 3D airspace sectorization: A study on Singapore regional airspace. SSCI 2016: 1-8 - [p1]Bindu Madhavi Padmanabhuni, Kartick Subramanian, Suresh Sundaram:
Extended Metacognitive Neuro-Fuzzy Inference System for Biometric Identification. Recent Advances in Computational Intelligence in Defense and Security 2016: 309-338 - [i1]Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. CoRR abs/1611.08773 (2016) - 2015
- [j56]R. Venkatesh Babu
, Badrinarayanan Rangarajan
, Suresh Sundaram, Manu Tom
:
Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network. Appl. Soft Comput. 36: 218-227 (2015) - [j55]Shirin Dora
, Suresh Sundaram
, N. Sundararajan:
A sequential learning algorithm for a spiking neural classifier. Appl. Soft Comput. 36: 255-268 (2015) - [j54]Vasily Sachnev, Saras Saraswathi, Rashid Niaz, Andrzej Kloczkowski, Suresh Sundaram:
Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer. BMC Bioinform. 16: 166:1-166:12 (2015) - [j53]Vasiliy Sachnev, Savitha Ramasamy
, Suresh Sundaram, Hyoung Joong Kim, Hee Joon Hwang:
A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function. Cogn. Comput. 7(1): 103-110 (2015) - [j52]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): 8775-8790 (2015) - [j51]M. Sivachitra
, Ramaswamy Savitha, Suresh Sundaram, S. Vijayachitra
:
A Fully Complex-valued Fast Learning Classifier (FC-FLC) for real-valued classification problems. Neurocomputing 149: 198-206 (2015) - [j50]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Self regulating particle swarm optimization algorithm. Inf. Sci. 294: 182-202 (2015) - [j49]Xiang-Gui Guo, Jianliang Wang
, Fang Liao, Suresh Sundaram, Srikanth Narasimalu
:
Quantized insensitive consensus of Lipschitz nonlinear multi-agent systems using the incidence matrix. J. Frankl. Inst. 352(11): 4845-4863 (2015) - [j48]Suresh Sundaram, Hao Huang, Hyoung Joong Kim:
Scheduling in compute cloud with multiple data banks using divisible load paradigm. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1288-1297 (2015) - [j47]Ankit Kumar Das, Kartick Subramanian
, Suresh Sundaram:
An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm. IEEE Trans. Fuzzy Syst. 23(6): 2080-2093 (2015) - [c65]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Mentoring based particle swarm optimization algorithm for faster convergence. CEC 2015: 196-203 - [c64]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems. CEC 2015: 1943-1949 - [c63]Abdullah Al-Dujaili, K. Subramanian, Suresh Sundaram:
HumanCog: A cognitive architecture for solving optimization problems. CEC 2015: 3220-3227 - [c62]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: 1-8 - [c61]Shirin Dora
, Badrinarayanan Rangarajan
, K. Subramanian, Suresh Sundaram:
Automatic seizure detection in multichannel EEG using McCIT2FIS approach. FUZZ-IEEE 2015: 1-8 - [c60]K. Subramanian, Suresh Sundaram:
Evolving Complex-Valued Interval Type-2 Fuzzy Inference System. FUZZ-IEEE 2015: 1-6 - [c59]Shirin Dora
, Suresh Sundaram, Narasimhan Sundararajan:
A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. IJCNN 2015: 1-7 - [c58]Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan:
Using regional homogeneity from functional MRI for diagnosis of ASD among males. IJCNN 2015: 1-8 - [c57]Vigneshwaran Senthilvel, Suresh Sundaram, B. S. Mahanand, N. Sundararajan:
ASD detection in males using MRI- an age-group based study. IJCNN 2015: 1-8 - [c56]Muhammad Rizwan Tanweer, Abdullah Al-Dujaili, Suresh Sundaram:
Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed. SEMCCO 2015: 17-28 - [c55]A. K. Das, Suresh Sundaram:
An Effect-Size Based Channel Selection Algorithm for Mental Task Classification in Brain Computer Interface. SMC 2015: 3140-3145 - [c54]Abdullah Al-Dujaili, Muhammad Rizwan Tanweer, Suresh Sundaram:
On the Performance of Particle Swarm Optimization Algorithms in Solving Cheap Problems. SSCI 2015: 1318-1325 - [c53]Abdullah Al-Dujaili, Muhammad Rizwan Tanweer, Suresh Sundaram:
DE vs. PSO: A Performance Assessment for Expensive Problems. SSCI 2015: 1711-1718 - 2014
- [j46]Suresh Sundaram
, Hao Huang, Hyoung Joong Kim:
Hybrid real-coded genetic algorithm for data partitioning in multi-round load distribution and scheduling in heterogeneous systems. Appl. Soft Comput. 24: 500-510 (2014) - [j45]Ramaswamy Savitha, Suresh Sundaram, Hyoung Joong Kim:
A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier. Cogn. Comput. 6(2): 253-263 (2014) - [j44]Giduthuri Sateesh Babu
, Suresh Sundaram, Belathur Suresh Mahanand:
A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson's disease. Expert Syst. Appl. 41(2): 478-488 (2014) - [j43]Kartick Subramanian
, Ankit Kumar Das, Suresh Sundaram, Savitha Ramasamy
:
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm. Evol. Syst. 5(4): 219-230 (2014) - [j42]Kartick Subramanian
, Ramaswamy Savitha, Suresh Sundaram:
A complex-valued neuro-fuzzy inference system and its learning mechanism. Neurocomputing 123: 110-120 (2014) - [j41]Kartick Subramanian
, Savitha Ramasamy
, Suresh Sundaram:
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1659-1672 (2014) - [c52]Badrinarayanan Rangarajan
, Suresh Sundaram, B. S. Mahanand:
Identification of potential biomarkers in the hippocampus region for the diagnosis of ADHD using PBL-McRBFN approach. ICARCV 2014: 17-22 - [c51]Yong Zhang, Meng Joo Er, Suresh Sundaram:
Meta-cognitive fuzzy extreme learning machine. ICARCV 2014: 613-618 - [c50]A. K. Das, Kartick Subramanian
, Suresh Sundaram:
A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm. IJCNN 2014: 1510-1516 - [c49]Shirin Dora
, Suresh Sundaram, N. Sundararajan:
A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. IJCNN 2014: 2415-2421 - [c48]Kartick Subramanian
, Radhakrishnan Venkatesh Babu
, Suresh Sundaram:
An optical flow feature and McFIS based approach for 3-dimensional human action recognition. ISSNIP 2014: 1-6 - [c47]Muhammad Rizwan Tanweer, Suresh Sundaram:
Human cognition inspired particle swarm optimization algorithm. ISSNIP 2014: 1-6 - [c46]A. K. Das, Suresh Sundaram, N. Srikanth:
Meta-cognitive Interval Type-2 neuro-fuzzy inference system for wind prediction. MFI 2014: 1-6 - [c45]Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan:
Human meta-cognition inspired collaborative search algorithm for optimization. MFI 2014: 1-6 - [c44]B. S. Mahanand, G. Sateesh Babu
, Suresh Sundaram:
Meta-Cognitive Learning Neural Classifier for Alzheimer's Disease Detection. SEMCCO 2014: 606-617 - 2013
- [b1]Suresh Sundaram, Narasimhan Sundararajan, Ramaswamy Savitha:
Supervised Learning with Complex-valued Neural Networks. Studies in Computational Intelligence 421, Springer 2013, ISBN 978-3-642-29490-7, pp. 1-168 - [j40]G. Sateesh Babu
, Suresh Sundaram:
Meta-cognitive RBF Network and its Projection Based Learning algorithm for classification problems. Appl. Soft Comput. 13(1): 654-666 (2013) - [j39]R. Venkatesh Babu
, Ramaswamy Savitha, Suresh Sundaram, Bhuvnesh Agarwal:
Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network. Eng. Appl. Artif. Intell. 26(9): 2010-2021 (2013) - [j38]G. Sateesh Babu
, Suresh Sundaram
:
Parkinson's disease prediction using gene expression - A projection based learning meta-cognitive neural classifier approach. Expert Syst. Appl. 40(5): 1519-1529 (2013) - [j37]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Fast learning complex-valued classifiers for real-valued classification problems. Int. J. Mach. Learn. Cybern. 4(5): 469-476 (2013) - [j36]Kartick Subramanian
, Suresh Sundaram, Narasimhan Sundararajan:
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems. IEEE Trans. Fuzzy Syst. 21(6): 1080-1095 (2013) - [j35]Giduthuri Sateesh Babu
, Suresh Sundaram:
Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 24(2): 194-206 (2013) - [j34]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24(4): 529-541 (2013) - [c43]Zhichao Liu, Jianliang Wang
, Eng Kee Poh, Suresh Sundaram:
Depth and normal vector identification of an unknown slope from a UAV using a single camera. ASCC 2013: 1-6 - [c42]R. Subasri, A. M. Natarajan, Suresh Sundaram:
Neural aided discrete PID active controller for non-linear hysteretic base-isolation building. ASCC 2013: 1-8 - [c41]B. S. Mahanand, Ramaswamy Savitha, Suresh Sundaram:
Computer Aided Diagnosis of ADHD Using Brain Magnetic Resonance Images. Australasian Conference on Artificial Intelligence 2013: 386-395 - [c40]R. Subasri, A. M. Natarajan, Suresh Sundaram:
Discrete direct adaptive ELM controller for seismically excited non-linear base-isolated buildings. CICA 2013: 148-154 - [c39]Saras Saraswathi, B. S. Mahanand, Andrzej Kloczkowski, Suresh Sundaram, N. Sundararajan:
Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier. CIMI 2013: 42-48 - [c38]R. Aruneshwaran, Suresh Sundaram, Jianliang Wang
, T. K. Venugopalan:
Neural adaptive flight controller for ducted-fan UAV performing nonlinear maneuver. CISDA 2013: 51-56 - [c37]Kartick Subramanian
, Ramaswamy Savitha, Suresh Sundaram:
A Meta-cognitive Interval Type-2 fuzzy inference system classifier and its projection based learning algorithm. EAIS 2013: 48-55 - [c36]Kartick Subramanian
, Suresh Sundaram:
A projection based learning algorithm for Meta-Cognitive Neuro-Fuzzy Inference system. FUZZ-IEEE 2013: 1-8 - [c35]Kartick Subramanian
, Ramaswamy Savitha, Suresh Sundaram:
Zero-Error Density Maximization based learning algorithm for a neuro-fuzzy inference system. FUZZ-IEEE 2013: 1-7 - [c34]G. Sateesh Babu
, Suresh Sundaram, B. S. Mahanand:
Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI). IJCNN 2013: 1-8 - [c33]B. Shamima, Ramaswamy Savitha, Suresh Sundaram, Saras Saraswathi:
Protein secondary structure prediction using a fully complex-valued relaxation network. IJCNN 2013: 1-8 - [c32]Shirin Dora, Ramaswamy Savitha, Suresh Sundaram:
A basis coupled evolving spiking neural network with afferent input neurons. IJCNN 2013: 1-8 - [c31]Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Ramaswamy Savitha:
Autism spectrum disorder detection using projection based learning meta-cognitive RBF network. IJCNN 2013: 1-8 - 2012
- [j33]Suresh Sundaram
, N. Sundararajan:
An on-line learning neural controller for helicopters performing highly nonlinear maneuvers. Appl. Soft Comput. 12(1): 360-371 (2012) - [j32]Kartick Subramanian
, Suresh Sundaram
:
A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system. Appl. Soft Comput. 12(11): 3603-3614 (2012) - [j31]Kartick Subramanian
, Suresh Sundaram:
Human Action Recognition using Meta-Cognitive Neuro-Fuzzy Inference System. Int. J. Neural Syst. 22(6) (2012) - [j30]Ramaswamy Savitha, Suresh Sundaram
, Narasimhan Sundararajan, Hyoung Joong Kim:
A fully complex-valued radial basis function classifier for real-valued classification problems. Neurocomputing 78(1): 104-110 (2012) - [j29]G. Sateesh Babu
, Suresh Sundaram
:
Meta-cognitive Neural Network for classification problems in a sequential learning framework. Neurocomputing 81: 86-96 (2012) - [j28]R. Venkatesh Babu
, Suresh Sundaram
, Ramaswamy Savitha:
Human action recognition using a fast learning fully complex-valued classifier. Neurocomputing 89: 202-212 (2012) - [j27]Ramaswamy Savitha, Suresh Sundaram
, N. Sundararajan:
Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems. Inf. Sci. 187: 277-290 (2012) - [j26]Ramaswamy Savitha, Suresh Sundaram
, N. Sundararajan:
Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. Neural Comput. 24(5): 1297-1328 (2012) - [j25]Ramaswamy Savitha, Suresh Sundaram
, N. Sundararajan:
A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. Neural Networks 32: 209-218 (2012) - [j24]B. S. Mahanand, Suresh Sundaram
, N. Sundararajan, M. Aswatha Kumar:
Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network. Neural Networks 32: 313-322 (2012) - [j23]Suresh Sundaram, Cui Run, Hyoung Joong Kim, Thomas G. Robertazzi, Young-Il Kim:
Scheduling Second-Order Computational Load in Master-Slave Paradigm. IEEE Trans. Aerosp. Electron. Syst. 48(1): 780-793 (2012) - [j22]Suresh Sundaram, Hyoung Joong Kim, Cui Run, Thomas G. Robertazzi:
Scheduling nonlinear divisible loads in a single level tree network. J. Supercomput. 61(3): 1068-1088 (2012) - [c30]G. Sateesh Babu
, Suresh Sundaram
, B. S. Mahanand:
Alzheimer's disease detection using a Projection Based Learning Meta-cognitive RBF Network. IJCNN 2012: 1-8 - [c29]G. Sateesh Babu
, Ramaswamy Savitha, Suresh Sundaram
:
A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems. IJCNN 2012: 1-8 - [c28]Kartick Subramanian
, Suresh Sundaram
:
Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System. IJCNN 2012: 1-8 - [c27]K. Subramanian, Suresh Sundaram
, R. Venkatesh Babu
:
Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. IJCNN 2012: 1-7 - [c26]Kartick Subramanian
, Ramaswamy Savitha, Suresh Sundaram
:
Complex-valued neuro-fuzzy inference system for wind prediction. IJCNN 2012: 1-7 - [c25]G. Sateesh Babu
, Suresh Sundaram
, K. Uma Sangumathi, Hyoung Joong Kim:
A Projection Based Learning Meta-cognitive RBF Network Classifier for Effective Diagnosis of Parkinson's Disease. ISNN (2) 2012: 611-620 - [c24]Kartick Subramanian
, Ramaswamy Savitha, Suresh Sundaram, B. S. Mahanand:
Complex-Valued Neuro-Fuzzy Inference System Based Classifier. SEMCCO 2012: 348-355 - 2011
- [j21]Suresh Sundaram
, François Brémond, Monique Thonnat, Hyoung Joong Kim:
Online learning neural tracker. Neurocomputing 74(10): 1681-1695 (2011) - [j20]Hai-Jun Rong, Suresh Sundaram
, Guang-She Zhao:
Stable indirect adaptive neural controller for a class of nonlinear system. Neurocomputing 74(16): 2582-2590 (2011) - [j19]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): 452-463 (2011) - [j18]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): 1061-1072 (2011) - [c23]Suresh Sundaram, S. Narasimhan:
Direct adaptive neural-control system for seismically excited non-linear base-isolated buildings. ACC 2011: 3129-3133 - [c22]Suresh Sundaram
, A. G. Ramakrishnan:
Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words. ICDAR 2011: 1175-1179 - [c21]Suresh Sundaram
, Ramaswamy Savitha, Narasimhan Sundararajan:
A fast learning Fully Complex-valued Relaxation Network (FCRN). IJCNN 2011: 1372-1377 - [c20]B. S. Mahanand, Suresh Sundaram
, Narasimhan Sundararajan, M. Aswatha Kumar:
Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. IJCNN 2011: 1930-1934 - [c19]Savitha Ramasamy
, Suresh Sundaram, Ramaswamy Savitha:
A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. IJCNN 2011: 2243-2249 - [c18]Suresh Sundaram
, Kartick Subramanian
:
A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems. IJCNN 2011: 2507-2512 - [c17]R. Venkatesh Babu
, Suresh Sundaram
:
Fully complex-valued ELM classifiers for human action recognition. IJCNN 2011: 2803-2808 - [c16]Ramaswamy Savitha, Suresh Sundaram
, N. Sundararajan, Hyoung Joong Kim:
Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. ISNN (1) 2011: 602-609 - 2010
- [j17]R. Venkatesh Babu
, Suresh Sundaram
, Anamitra Makur:
Online adaptive radial basis function networks for robust object tracking. Comput. Vis. Image Underst. 114(3): 297-310 (2010) - [j16]Suresh Sundaram
, Saras Saraswathi, N. Sundararajan:
Performance enhancement of extreme learning machine for multi-category sparse data classification problems. Eng. Appl. Artif. Intell. 23(7): 1149-1157 (2010) - [j15]Vasiliy Sachnev, Hyoung Joong Kim, Suresh Sundaram
, Yun-Qing Shi:
Reversible Watermarking Algorithm with Distortion Compensation. EURASIP J. Adv. Signal Process. 2010 (2010) - [j14]Suresh Sundaram
, Keming Dong, Hyoung Joong Kim:
A sequential learning algorithm for self-adaptive resource allocation network classifier. Neurocomputing 73(16-18): 3012-3019 (2010) - [c15]Sureshkumar Chandrasekar, Suresh Sundaram, Narasimhan Sundararajan, Narayanaswamy Nagarajan:
An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies. ICARCV 2010: 50-56 - [c14]Suresh Sundaram, Pushpinder Kashyab, Masque Nabi:
Automatic take-off control system for helicopter - An H∞ apporach. ICARCV 2010: 2404-2408 - [c13]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j13]Suresh Sundaram
, R. Venkatesh Babu
, Hyoung Joong Kim:
No-reference image quality assessment using modified extreme learning machine classifier. Appl. Soft Comput. 9(2): 541-552 (2009) - [j12]M. Vijaya Kumar, Suresh Sundaram
, S. N. Omkar, Ranjan Ganguli
, Prasad Sampath:
A direct adaptive neural command controller design for an unstable helicopter. Eng. Appl. Artif. Intell. 22(2): 181-191 (2009) - [j11]Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan:
A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm. Int. J. Neural Syst. 19(4): 253-267 (2009) - [j10]Ramaswamy Savitha, Suresh Sundaram
, N. Sundararajan, P. Saratchandran:
A new learning algorithm with logarithmic performance index for complex-valued neural networks. Neurocomputing 72(16-18): 3771-3781 (2009) - [j9]Suresh Sundaram
, V. Mani, S. N. Omkar, Hyoung Joong Kim, Narasimhan Sundararajan:
A new load distribution strategy for linear network with communication delays. Math. Comput. Simul. 79(5): 1488-1501 (2009) - [j8]Vasiliy Sachnev, Hyoung-Joong Kim, Jeho Nam, Suresh Sundaram
, Yun-Qing Shi:
Reversible Watermarking Algorithm Using Sorting and Prediction. IEEE Trans. Circuits Syst. Video Technol. 19(7): 989-999 (2009) - [c12]Suresh Sundaram, Hai-Jun Rong, Narasimhan Sundararajan:
Bio-inspired computing for launch vehicle design and trajectory optimization. CISDA 2009: 1-8 - [c11]Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. IJCNN 2009: 2819-2825 - [c10]Slawomir Bak, Suresh Sundaram, François Brémond, Monique Thonnat:
Fusion of Motion Segmentation with Online Adaptive Neural Classifier for Robust Tracking. VISAPP (2) 2009: 410-416 - 2008
- [j7]Suresh Sundaram
, N. Kannan:
Direct adaptive neural flight control system for an unstable unmanned aircraft. Appl. Soft Comput. 8(2): 937-948 (2008) - [j6]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): 219-231 (2008) - [j5]Suresh Sundaram
, Narasimhan Sundararajan, Paramasivan Saratchandran:
A sequential multi-category classifier using radial basis function networks. Neurocomputing 71(7-9): 1345-1358 (2008) - [j4]Suresh Sundaram
, Narasimhan Sundararajan, Paramasivan Saratchandran:
Risk-sensitive loss functions for sparse multi-category classification problems. Inf. Sci. 178(12): 2621-2638 (2008) - [c9]Ramaswamy Savitha, Suresh Sundaram
, Narasimhan Sundararajan, Paramasivan Saratchandran:
Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. IJCNN 2008: 2251-2258 - 2007
- [j3]R. Venkatesh Babu
, Suresh Sundaram
, Andrew Perkis
:
No-reference JPEG-image quality assessment using GAP-RBF. Signal Process. 87(6): 1493-1503 (2007) - [c8]Sriram Narasimha, Suresh Sundaram
, N. Sundararajan:
Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings. ISIC 2007: 138-143 - [c7]R. Venkatesh Babu
, Suresh Sundaram
, Anamitra Makur:
Robust Object Tracking with Radial Basis Function Networks. ICASSP (1) 2007: 937-940 - [c6]Neelam Sinha
, Manojkumar Saranathan, Kalpathi R. Ramakrishnan, Suresh Sundaram
:
Parallel Magnetic Resonance Imaging using Neural Networks. ICIP (3) 2007: 149-152 - 2006
- [j2]Suresh Sundaram, V. Mani, S. N. Omkar, Hyoung Joong Kim:
Divisible load scheduling in distributed system with buffer constraints: genetic algorithm and linear programming approach. Int. J. Parallel Emergent Distributed Syst. 21(5): 303-321 (2006) - [c5]Suresh Sundaram
, R. Venkatesh Babu, Narasimhan Sundararajan:
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV 2006: 1-6 - [c4]R. Venkatesh Babu, Suresh Sundaram:
GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images. ICVGIP 2006: 718-727 - 2005
- [j1]Suresh Sundaram, S. N. Omkar, V. Mani:
Parallel Implementation of Back-Propagation Algorithm in Networks of Workstations. IEEE Trans. Parallel Distributed Syst. 16(1): 24-34 (2005) - [c3]Suresh Sundaram, V. Mani, S. N. Omkar, Hyoung Joong Kim:
A Real Coded Genetic Algorithm for Data Partitioning and Scheduling in Networks with Arbitrary Processor Release Time. Asia-Pacific Computer Systems Architecture Conference 2005: 529-539 - [c2]Suresh Sundaram, N. Kannan, S. N. Omkar, V. Mani:
Nonlinear lateral command control using neural network for F-16 aircraft. ACC 2005: 2658-2663 - [c1]V. Mani, Suresh Sundaram, Hyoung Joong Kim:
Real-Coded Genetic Algorithms for Optimal Static Load Balancing in Distributed Computing System with Communication Delays. ICCSA (4) 2005: 269-279
Coauthor Index
aka: Giduthuri Sateesh Babu
aka: Ankit Kumar Das
aka: Hyoung-Joong Kim
aka: Belathur Suresh Mahanand
aka: Senthilnath Jayavelu
aka: Kartick Subramanian
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 18:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint