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ORCIDSuresh 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
![[0000-0002-8713-6650]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8713-6650")
— 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
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2020 – today
- 2025
[j117]Aayush Agrawal, Aniruddh Sikdar, Rajini Makam, Suresh Sundaram, Suresh Kumar Besai, Mahesh Gopi:
Syn2Real Domain Generalization for Underwater Mine-Like Object Detection Using Side-Scan Sonar. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)- [j116]Josy John, Shridhar Velhal, Suresh Sundaram:
A Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation. IEEE Trans Autom. Sci. Eng. 22: 11469-11482 (2025) - [j115]Jayabrata Chowdhury, Suresh Sundaram, Nishanth Rao, Narasimman Sundararajan:
An Efficient Deep Spatio-Temporal Context Aware Decision Network (DST-CAN) for Predictive Manoeuvre Planning on Highways. IEEE Trans. Intell. Transp. Syst. 26(3): 2944-2954 (2025) - [j114]Shridhar Velhal, Suresh Sundaram, Narasimman Sundararajan:
Priority-Based DREAM Approach for Highly Manoeuvring Intruders in a Perimeter Defense Problem. IEEE Trans. Syst. Man Cybern. Syst. 55(2): 1388-1399 (2025) - [c125]Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram:
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation. AAAI 2025: 6922-6930 - 2024
- [j113]Vignesh Gurumurthy, Nishant Mohanty, Suresh Sundaram, Narasimhan Sundararajan:
An efficient reinforcement learning scheme for the confinement escape problem. Appl. Soft Comput. 152: 111248 (2024) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]Eeshan Kulkarni, Narasimhan Sundararajan, Suresh Sundaram:
Heli-Quad Design for Full-Attitude Fault-Tolerant Control Under Complete Failure of an Actuator. Unmanned Syst. 12(6): 1001-1022 (2024) - [c124]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 - [c123]Josy John, Suresh Sundaram:
Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs. CEC 2024: 1-8 - [c122]Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram:
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation. CVPR 2024: 5904-5914 - [c121]Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li:
Class Name Guided Out-of-Scope Intent Classification. EMNLP (Findings) 2024: 9100-9112 - [c120]Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram:
SKD-Net: Spectral-based Knowledge Distillation in Low-Light Thermal Imagery for robotic perception. ICRA 2024: 9041-9047 - [c119]Qiranul Saadiyean, S. P. Samprithi, Suresh Sundaram:
Learning Multi-Scale Context Mask-RCNN Network for Slant Angled Aerial Imagery in Instance Segmentation in a Sim2Real setup. ICRA 2024: 13573-13580 - [c118]Aniruddh Sikdar, Qiranul Saadiyean, Prahlad Anand, Suresh Sundaram:
SSL-RGB2IR: Semi-supervised RGB-to-IR Image-to-Image Translation for Enhancing Visual Task Training in Semantic Segmentation and Object Detection. IROS 2024: 5017-5023 - [c117]Neethu Maya, Bala Kameshwar Poolla, Seshadhri Srinivasan, Narasimhan Sundararajan, Suresh Sundaram:
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids. ISGT Asia 2024: 1-6 - [c116]Neethu Maya, Narasimman Sundararajan, Suresh Sundaram:
An Optimal Multi-Path Power Routing and Transmission Scheduling Approach for Peer-to-Peer Power Trading in Energy Internet. SMC 2024: 2447-2452 - [c115]Jayabrata Chowdhury, Venkataramanan Shivaraman, Sumit Dangi, Suresh Sundaram, P. B. Sujit:
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment. SMC 2024: 3863-3868 - [i40]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) - [i39]Josy John, Suresh Sundaram:
Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs. CoRR abs/2407.19162 (2024) - [i38]Josy John, Shridhar Velhal, Suresh Sundaram:
A Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation. CoRR abs/2407.19163 (2024) - [i37]Prahlad Anand, Qiranul Saadiyean, Aniruddh Sikdar, Nalini N, Suresh Sundaram:
Supervised Image Translation from Visible to Infrared Domain for Object Detection. CoRR abs/2408.01843 (2024) - [i36]Neethu Maya, Kameshwar Poolla, Seshadhri Srinivasan, Narasimman Sundararajan, Suresh Sundaram:
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids. CoRR abs/2409.16643 (2024) - [i35]Aayush Agrawal, Aniruddh Sikdar, Rajini Makam, Suresh Sundaram, Suresh Kumar Besai, Mahesh Gopi:
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar. CoRR abs/2410.12953 (2024) - [i34]Manjunath D, Prajwal Gurunath, Sumanth Udupa, Aditya Gandhamal, Shrikar Madhu, Aniruddh Sikdar, Suresh Sundaram:
IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Tasks. CoRR abs/2410.20953 (2024) - [i33]Pruthviraj Mane, Allen Jacob George, Rajini Makam, Rudrashis Majumder, Suresh Sundaram:
EROAS: 3D Efficient Reactive Obstacle Avoidance System for Autonomous Underwater Vehicles using 2.5D Forward-Looking Sonar. CoRR abs/2411.05516 (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
G. Sateesh Babu
aka: Giduthuri Sateesh Babu
aka: Giduthuri Sateesh Babu
A. K. Das 0002
aka: Ankit Kumar Das
aka: Ankit Kumar Das
Hyoung Joong Kim
aka: Hyoung-Joong Kim
aka: Hyoung-Joong Kim
B. S. Mahanand
aka: Belathur Suresh Mahanand
aka: Belathur Suresh Mahanand
J. Senthilnath 0001
aka: Senthilnath Jayavelu
aka: Senthilnath Jayavelu
K. Subramanian 0001
aka: Kartick Subramanian
aka: Kartick Subramanian
[j113] [j111] [j108] [c117] [j107] [i30] [i29] [j102] [j99] [j97] [j96] [c105] [i23] [i16] [j93] [j91] [i14] [i12] [j88] [i11] [i8] [j84] [j83] [j77] [j76] [j75] [i6] [j70] [c96] [j69] [j68] [c84] [j66] [j64] [j63] [j59] [j58] [j57] [c76] [c75] [c70] [j55] [j52] [j50] [c65] [c64] [c62] [c59] [c58] [c57] [c49] [c45] [b1] [j37] [j36] [j34] [c39] [j33] [j30] [j27] [j26] [j25] [j24] [j19] [j18] [c21] [c20] [c16] [j16] [c15] [c13] [j11] [j10] [j9] [c12] [c11] [j6] [j5] [j4] [c9] [c8] [c5]
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