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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
- 2023
[j105]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)- [j104]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) - [j103]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) - [j102]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) - [i23]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) - 2022
- [j101]Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan:
Robust EMRAN-aided coupled controller for autonomous vehicles. Eng. Appl. Artif. Intell. 110: 104717 (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, Harikumar Kandath, 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 - [i22]Nishanth Rao, Suresh Sundaram:
Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. CoRR abs/2201.13033 (2022) - [i21]Jayabrata Chowdhury, Suresh Sundaram, Nishant Rao, Narasimhan Sundararajan:
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. CoRR abs/2205.10092 (2022) - [i20]Nishanth Rao, Suresh Sundaram:
An Input-Output Feedback Linearization based Exponentially Stable Controller for Multi-UAV Payload Transport. CoRR abs/2207.04375 (2022) - [i19]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) - [i18]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) - [i17]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) - [i16]Nishanth Rao, Suresh Sundaram, Pushpak Jagtap:
Temporal Waypoint Navigation of Multi-UAV Payload System using Barrier Functions. CoRR abs/2211.14261 (2022) - [i15]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) - 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]Harikumar Kandath, 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]Harikumar Kandath, 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]Harikumar Kandath, 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]Harikumar Kandath, 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, Harikumar Kandath, 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]Harikumar Kandath, 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]R. 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]