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ORCIDJ. Senthilnath 0001
Senthilnath Jayavelu
Person information
- affiliation: Agency for Science, Technology and Research, Institute for Infocomm Research, Research
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2014): Indian Institute of Science, Department of Aerospace Engineering, Bangalore, India
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2020 – today
- 2024
[j34]Mahindra Rautela
, J. Senthilnath, Armin Huber, S. Gopalakrishnan:
Toward Deep Generation of Guided Wave Representations for Composite Materials. IEEE Trans. Artif. Intell. 5(3): 1102-1109 (2024)- [j33]J. Senthilnath, Nagaraj G, Sumanth Simha C, Sushant Kulkarni, Meenakumari Thapa, Indiramma M, Jón Atli Benediktsson:
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2560-2574 (2024) - [i17]J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li:
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. CoRR abs/2402.09167 (2024) - [i16]J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li:
Self-evolving Autoencoder Embedded Q-Network. CoRR abs/2402.11604 (2024) - 2023
- [j32]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) - [j31]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) - [j30]Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh:
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7782-7795 (2023) - [c31]Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh:
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. BIBM 2023: 49-56 - [c30]Bangjian Zhou, Jieming Pan, Maheswari Sivan, Aaron Voon-Yew Thean, J. Senthilnath:
Quantile Online Learning for Semiconductor Failure Analysis. ICASSP 2023: 1-5 - [c29]Indu Solomon, Uttam Kumar, Senthilnath Jayavelu:
Data Generation with Structure Enforcing Adversarial Learning. ICIP 2023: 2530-2534 - [c28]Adithya Shankar, Himanshu, Harikumar Kandath, J. Senthilnath:
Acceleration-Based PSO for Multi-UAV Source-Seeking. IECON 2023: 1-6 - [i15]Ankur Singh, Senthilnath Jayavelu:
Robust Representation Learning with Self-Distillation for Domain Generalization. CoRR abs/2302.06874 (2023) - [i14]Bangjian Zhou, Jieming Pan, Maheswari Sivan, Aaron Voon-Yew Thean, J. Senthilnath:
Quantile Online Learning for Semiconductor Failure Analysis. CoRR abs/2303.07062 (2023) - [i13]Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu:
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. CoRR abs/2305.07367 (2023) - [i12]Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan:
Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers. CoRR abs/2308.04103 (2023) - 2022
- [j29]Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath:
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. IEEE Access 10: 115092-115107 (2022) - [j28]Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An:
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing 481: 182-192 (2022) - [j27]Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - [j26]Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu:
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. Remote. Sens. 14(6): 1337 (2022) - [j25]Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu:
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. Remote. Sens. 14(24): 6290 (2022) - [j24]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) - [c27]Harikumar Kandath, Rajdeep Dutta, J. Senthilnath:
Optimal Connectivity during Multi-agent Consensus Dynamics via Model Predictive Control. ACC 2022: 5193-5198 - [c26]Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. CIKM 2022: 4490-4494 - [c25]Deeksha Aggarwal, Uttam Kumar, J. Senthilnath:
Towards Building a Flexible Online Learning Model for Data Stream Classification. COMAD/CODS 2022: 320-321 - [c24]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - [c23]Zhengguo Li, Jinghong Zheng, J. Senthilnath:
Simultaneous Smoothing and Sharpening Using iWGIF. ICIP 2022: 861-865 - [c22]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP 2022: 3712-3716 - [i11]Jinraj V. Pushpangathan, Harikumar Kandath, Rajdeep Dutta, Rajarshi Bardhan, J. Senthilnath:
Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies. CoRR abs/2202.06261 (2022) - [i10]J. Senthilnath, Nagaraj G, Sumanth Simha C, Sushant Kulkarni, Meenakumari Thapa, Indiramma M, Jón Atli Benediktsson:
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering. CoRR abs/2205.06697 (2022) - [i9]J. Senthilnath, Harikumar Kandath, S. Suresh:
Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication. CoRR abs/2207.00725 (2022) - [i8]Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu:
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. CoRR abs/2207.02209 (2022) - [i7]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR abs/2209.01555 (2022) - [i6]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) - 2021
- [j23]Yahui Guo, Yongshuo Fu, Shouzhi Chen, Christopher Robin Bryant, Xinxi Li, J. Senthilnath, Hongyong Sun, Shuxin Wang, Zhaofei Wu, Kirsten M. de Beurs:
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. Int. J. Appl. Earth Obs. Geoinformation 102: 102435 (2021) - [j22]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) - [j21]Yahui Guo, Shouzhi Chen, Zhaofei Wu, Shuxin Wang, Christopher Robin Bryant, J. Senthilnath, Mario Cunha, Yongshuo Fu:
Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. Remote. Sens. 13(9): 1795 (2021) - [c21]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CIKM 2021: 2970-2973 - [c20]Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li:
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. ICDM (Workshops) 2021: 322-330 - [i5]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR abs/2102.08577 (2021) - [i4]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CoRR abs/2108.10697 (2021) - [i3]Adithya Shankar, Harikumar Kandath, J. Senthilnath:
Acceleration based PSO for Multi-UAV Source-Seeking. CoRR abs/2109.11462 (2021) - 2020
- [j20]J. Senthilnath, Neelanshi Varia, Akanksha Dokania, Gaotham Anand, Jón Atli Benediktsson:
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery. Remote. Sens. 12(2): 245 (2020) - [j19]Yahui Guo, Hanxi Wang, Zhaofei Wu, Shuxin Wang, Hongyong Sun, J. Senthilnath, Jingzhe Wang, Christopher Robin Bryant, Yongshuo Fu:
Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV. Sensors 20(18): 5055 (2020) - [j18]Yahui Guo, Guodong Yin, Hongyong Sun, Hanxi Wang, Shouzhi Chen, J. Senthilnath, Jingzhe Wang, Yongshuo Fu:
Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods. Sensors 20(18): 5130 (2020) - [j17]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) - [i2]Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi:
Inverse design of crystals using generalized invertible crystallographic representation. CoRR abs/2005.07609 (2020)
2010 – 2019
- 2019
- [j16]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) - [j15]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) - 2018
- [j14]J. Senthilnath, Sumanth Simha C, Nagaraj G, Meenakumari Thapa, Indiramma M:
BELMKN: Bayesian Extreme Learning Machines Kohonen Network. Algorithms 11(5): 56 (2018) - [j13]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) - [c19]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 - [c18]C. S. Arvind, J. Senthilnath:
Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning. SocProS (1) 2018: 55-66 - [c17]Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram:
Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. SSCI 2018: 1461-1465 - [c16]Sushant Kulkarni, Senthilnath Jayavelu, Jón Atli Benediktsson:
Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms. SSCI 2018: 1664-1669 - [c15]Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu:
DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. SSCI 2018: 1890-1895 - [c14]Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu:
EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. SSCI 2018: 1896-1901 - 2017
- [j12]J. Senthilnath, Manasa Kandukuri, Akanksha Dokania, K. N. Ramesh:
Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods. Comput. Electron. Agric. 140: 8-24 (2017) - [j11]Shruti Parashar, J. Senthilnath, Xin-She Yang:
A novel bat algorithm fuzzy classifier approach for classification problems. Int. J. Artif. Intell. Soft Comput. 6(2): 108-128 (2017) - 2016
- [j10]Rahul Khandelwal, J. Senthilnath, S. N. Omkar, Narendra Shivanath:
A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony. Int. J. Appl. Metaheuristic Comput. 7(4): 1-17 (2016) - [j9]J. Senthilnath, Sushant Kulkarni, Jón Atli Benediktsson, Xin-She Yang:
A Novel Approach for Multispectral Satellite Image Classification Based on the Bat Algorithm. IEEE Geosci. Remote. Sens. Lett. 13(4): 599-603 (2016) - 2015
- [j8]S. N. Omkar, Dheevatsa Mudigere, J. Senthilnath, M. Vijaya Kumar:
Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques. Int. J. Appl. Metaheuristic Comput. 6(3): 38-52 (2015) - 2014
- [j7]J. Senthilnath, Naveen P. Kalro, Jón Atli Benediktsson:
Accurate point matching based on multi-objective Genetic Algorithm for multi-sensor satellite imagery. Appl. Math. Comput. 236: 546-564 (2014) - [c13]J. Senthilnath, Ram Prasad:
A new SIFT matching criteria in a genetic algorithm framework for registering multisensory satellite imagery. ICVGIP 2014: 21:1-21:6 - [i1]S. N. Omkar, Dheevatsa Mudigere, J. Senthilnath, M. Vijaya Kumar:
Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques. CoRR abs/1411.3251 (2014) - 2013
- [j6]J. Senthilnath, S. N. Omkar, V. Mani, T. Karthikeyan:
Multiobjective Discrete Particle Swarm Optimization for Multisensor Image Alignment. IEEE Geosci. Remote. Sens. Lett. 10(5): 1095-1099 (2013) - [j5]J. Senthilnath, S. N. Omkar, V. Mani, Nitin Karnwal, P. B. Shreyas:
Crop Stage Classification of Hyperspectral Data Using Unsupervised Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-3): 861-866 (2013) - [c12]J. Senthilnath, S. N. Omkar, V. Mani, Anurag R. Katti:
Cooperative communication of UAV to perform multi-task using nature inspired techniques. CISDA 2013: 45-50 - 2012
- [j4]Craig D'Souza, S. N. Omkar, J. Senthilnath:
Pickup and delivery problem using metaheuristics techniques. Expert Syst. Appl. 39(1): 328-334 (2012) - [j3]J. Senthilnath, S. N. Omkar, V. Mani, N. Tejovanth, P. G. Diwakar, Shenoy B. Archana:
Hierarchical Clustering Algorithm for Land Cover Mapping Using Satellite Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(3): 762-768 (2012) - [c11]C. S. Arvind, Ashoka Vanjare, S. N. Omkar, J. Senthilnath, V. Mani, P. G. Diwakar:
Multi-temporal Satellite Image Analysis Using Unsupervised Techniques. ACITY (2) 2012: 757-765 - [c10]J. Senthilnath, Ankur Raj, S. N. Omkar, V. Mani, Deepak Kumar:
Quasi-Based Hierarchical Clustering for Land Cover Mapping Using Satellite Images. BIC-TA (2) 2012: 53-64 - [c9]J. Senthilnath, Vipul Das, S. N. Omkar, V. Mani:
Clustering Using Levy Flight Cuckoo Search. BIC-TA (2) 2012: 65-75 - [c8]J. Senthilnath, H. Vikram Shenoy, S. N. Omkar, V. Mani:
Spectral-Spatial MODIS Image Analysis Using Swarm Intelligence Algorithms and Region Based Segmentation for Flood Assessment. BIC-TA (2) 2012: 163-174 - [c7]S. N. Omkar, Nikhil Ramaswamy, R. Ananda, N. G. Venkatesh, J. Senthilnath:
An Optimal Fuzzy Logic Controller Tuned with Artificial Immune System. BIC-TA (1) 2012: 507-518 - [c6]S. N. Omkar, Nikhil Ramaswamy, J. Senthilnath, S. Bharath, N. S. Anuradha:
Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification. ICGEC 2012: 136-139 - [c5]J. Senthilnath, S. N. Omkar, V. Mani, Naveen P. Kalro, P. G. Diwakar:
Multi-objective Genetic Algorithm for efficient point matching in multi-sensor satellite image. IGARSS 2012: 1761-1764 - [c4]J. Senthilnath, P. B. Shreyas, Ritwik Rajendra, S. N. Omkar, V. Mani, P. G. Diwakar:
Multi-sensor Satellite Image Analysis Using Niche Genetic Algorithm for Flood Assessment. SEMCCO 2012: 49-56 - [c3]Nikhil Goel, J. Senthilnath, S. N. Omkar, V. Mani:
Location Management in Mobile Computing Using Swarm Intelligence Techniques. SocProS 2012: 481-489 - [c2]J. Senthilnath, S. N. Omkar, V. Mani, Ashoka Vanjare, P. G. Diwakar:
Multi-Temporal Satellite Image Analysis Using Gene Expression Programming. SocProS 2012: 1039-1045 - 2011
- [j2]S. N. Omkar, J. Senthilnath, Rahul Khandelwal, G. Narayana Naik, S. Gopalakrishnan:
Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures. Appl. Soft Comput. 11(1): 489-499 (2011) - [j1]J. Senthilnath, S. N. Omkar, V. Mani:
Clustering using firefly algorithm: Performance study. Swarm Evol. Comput. 1(3): 164-171 (2011) - [c1]J. Senthilnath, S. N. Omkar, V. Mani, N. Tejovanth, P. G. Diwakar, Shenoy B. Archana:
Multi-spectral satellite image classification using Glowworm Swarm Optimization. IGARSS 2011: 47-50 - [p1]S. N. Omkar, J. Senthilnath:
Neural Network and Swarm Intelligence for Data Mining. Integration of Swarm Intelligence and Artificial Neural Network 2011: 23-66
Coauthor Index
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