J. Senthilnath

According to our database, J. Senthilnath authored at least 77 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Deep Generation of Guided Wave Representations for Composite Materials.

Mahindra Rautela, J. Senthilnath, Armin Huber, S. Gopalakrishnan

IEEE Trans. Artif. Intell., March, 2024

DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering.

J. Senthilnath, Nagaraj G, Sumanth Simha C, Sushant Kulkarni, Meenakumari Thapa, Indiramma M, Jón Atli Benediktsson

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Self-evolving Autoencoder Embedded Q-Network.

J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li

CoRR, 2024

Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering.

J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li

CoRR, 2024

2023

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.

Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh

IEEE Trans. Knowl. Data Eng., August, 2023

PASE: An autonomous sequential framework for the state estimation of dynamical systems.

Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu

Expert Syst. Appl., April, 2023

A decentralized learning strategy to restore connectivity during multi-agent formation control.

Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack

Neurocomputing, 2023

Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers.

Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan

CoRR, 2023

S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning.

Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu

CoRR, 2023

Robust Representation Learning with Self-Distillation for Domain Generalization.

Ankur Singh, Senthilnath Jayavelu

CoRR, 2023

Acceleration-Based PSO for Multi-UAV Source-Seeking.

Adithya Shankar, Himanshu, Harikumar Kandath, J. Senthilnath

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Data Generation with Structure Enforcing Adversarial Learning.

Indu Solomon, Uttam Kumar, Senthilnath Jayavelu

Proceedings of the IEEE International Conference on Image Processing, 2023

Quantile Online Learning for Semiconductor Failure Analysis.

Bangjian Zhou, Jieming Pan, Maheswari Sivan, Aaron Voon-Yew Thean, J. Senthilnath

Proceedings of the IEEE International Conference on Acoustics, 2023

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.

Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches.

Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu

Remote. Sens., December, 2022

BS-McL: Bilevel Segmentation Framework With Metacognitive Learning for Detection of the Power Lines in UAV Imagery.

J. Senthilnath, Abhishek Kumar, Anurag Jain, Harikumar Kandath, Meenakumari Thapa, Suresh Sundaram, Gautham Anand, Jón Atli Benediktsson

IEEE Trans. Geosci. Remote. Sens., 2022

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images.

Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu

Remote. Sens., 2022

Significance of activation functions in developing an online classifier for semiconductor defect detection.

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

Knowl. Based Syst., 2022

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning.

Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An

Neurocomputing, 2022

An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting.

Josy John, K. Harikumar, J. Senthilnath, Suresh Sundaram

CoRR, 2022

Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films.

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

CoRR, 2022

Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication.

J. Senthilnath, Harikumar Kandath, S. Suresh

CoRR, 2022

Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies.

Jinraj V. Pushpangathan, Harikumar Kandath, Rajdeep Dutta, Rajarshi Bardhan, J. Senthilnath

CoRR, 2022

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks.

Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath

IEEE Access, 2022

Simultaneous Smoothing and Sharpening Using iWGIF.

Zhengguo Li, Jinghong Zheng, J. Senthilnath

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Latent Preserving Generative Adversarial Network for Imbalance Classification.

Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.

Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Building a Flexible Online Learning Model for Data Stream Classification.

Deeksha Aggarwal, Uttam Kumar, J. Senthilnath

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Data Oversampling with Structure Preserving Variational Learning.

Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Optimal Connectivity during Multi-agent Consensus Dynamics via Model Predictive Control.

Harikumar Kandath, Rajdeep Dutta, J. Senthilnath

Proceedings of the American Control Conference, 2022

2021

Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform.

Yahui Guo, Shouzhi Chen, Zhaofei Wu, Shuxin Wang, Christopher Robin Bryant, J. Senthilnath, Mario Cunha, Yongshuo Fu

Remote. Sens., 2021

FPA clust: evaluation of the flower pollination algorithm for data clustering.

J. Senthilnath, Sushant Kulkarni, Suresh Sundaram, Xin-She Yang, Jón Atli Benediktsson

Evol. Intell., 2021

Acceleration based PSO for Multi-UAV Source-Seeking.

Adithya Shankar, Harikumar Kandath, J. Senthilnath

CoRR, 2021

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images.

Yahui Guo, Yongshuo Fu, Shouzhi Chen, Christopher Robin Bryant, Xinxi Li, J. Senthilnath, Hongyong Sun, Shuxin Wang, Zhaofei Wu, Kirsten M. de Beurs

Int. J. Appl. Earth Obs. Geoinformation, 2021

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.

Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li

Proceedings of the 2021 International Conference on Data Mining, 2021

Does Adversarial Oversampling Help us?

Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Mission Aware Motion Planning (MAP) Framework With Physical and Geographical Constraints for a Swarm of Mobile Stations.

Harikumar Kandath, J. Senthilnath, Suresh Sundaram

IEEE Trans. Cybern., 2020

Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods.

Yahui Guo, Guodong Yin, Hongyong Sun, Hanxi Wang, Shouzhi Chen, J. Senthilnath, Jingzhe Wang, Yongshuo Fu

Sensors, 2020

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV.

Yahui Guo, Hanxi Wang, Zhaofei Wu, Shuxin Wang, Hongyong Sun, J. Senthilnath, Jingzhe Wang, Christopher Robin Bryant, Yongshuo Fu

Sensors, 2020

Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery.

J. Senthilnath, Neelanshi Varia, Akanksha Dokania, Gaotham Anand, Jón Atli Benediktsson

Remote. Sens., 2020

Inverse design of crystals using generalized invertible crystallographic representation.

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

CoRR, 2020

2019

Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting.

Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram

IEEE Trans Autom. Sci. Eng., 2019

A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting.

Subhrajit Samanta, Suresh Sundaram, J. Senthilnath, N. Sundararajan

Appl. Soft Comput., 2019

2018

Efficient resource allocation for decentralized heterogeneous system using density estimation approach.

J. Senthilnath, Harikumar Kandath, Suresh Sundaram

Encycl. Semantic Comput. Robotic Intell., 2018

BELMKN: Bayesian Extreme Learning Machines Kohonen Network.

J. Senthilnath, Sumanth Simha C, Nagaraj G, Meenakumari Thapa, Indiramma M

Algorithms, 2018

DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV.

Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms.

Sushant Kulkarni, Senthilnath Jayavelu, Jón Atli Benediktsson

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning.

Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images.

Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning.

C. S. Arvind, J. Senthilnath

Proceedings of the Soft Computing for Problem Solving, 2018

Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach.

Senthilnath Jayavelu, Harikumar Kandath, Suresh Sundaram

Proceedings of the Second IEEE International Conference on Robotic Computing, 2018

2017

A novel bat algorithm fuzzy classifier approach for classification problems.

Shruti Parashar, J. Senthilnath, Xin-She Yang

Int. J. Artif. Intell. Soft Comput., 2017

Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods.

J. Senthilnath, Manasa Kandukuri, Akanksha Dokania, K. N. Ramesh

Comput. Electron. Agric., 2017

2016

A Novel Approach for Multispectral Satellite Image Classification Based on the Bat Algorithm.

J. Senthilnath, Sushant Kulkarni, Jón Atli Benediktsson, Xin-She Yang

IEEE Geosci. Remote. Sens. Lett., 2016

A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony.

Rahul Khandelwal, J. Senthilnath, S. N. Omkar, Narendra Shivanath

Int. J. Appl. Metaheuristic Comput., 2016

2015

Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques.

S. N. Omkar, Dheevatsa Mudigere, J. Senthilnath, M. Vijaya Kumar

Int. J. Appl. Metaheuristic Comput., 2015

2014

Accurate point matching based on multi-objective Genetic Algorithm for multi-sensor satellite imagery.

J. Senthilnath, Naveen P. Kalro, Jón Atli Benediktsson

Appl. Math. Comput., 2014

A new SIFT matching criteria in a genetic algorithm framework for registering multisensory satellite imagery.

J. Senthilnath, Ram Prasad

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Crop Stage Classification of Hyperspectral Data Using Unsupervised Techniques.

J. Senthilnath, S. N. Omkar, V. Mani, Nitin Karnwal, P. B. Shreyas

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Multiobjective Discrete Particle Swarm Optimization for Multisensor Image Alignment.

J. Senthilnath, S. N. Omkar, V. Mani, T. Karthikeyan

IEEE Geosci. Remote. Sens. Lett., 2013

Cooperative communication of UAV to perform multi-task using nature inspired techniques.

J. Senthilnath, S. N. Omkar, V. Mani, Anurag R. Katti

Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2013

2012

Hierarchical Clustering Algorithm for Land Cover Mapping Using Satellite Images.

J. Senthilnath, S. N. Omkar, V. Mani, N. Tejovanth, P. G. Diwakar, Shenoy B. Archana

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Pickup and delivery problem using metaheuristics techniques.

Craig D'Souza, S. N. Omkar, J. Senthilnath

Expert Syst. Appl., 2012

Multi-Temporal Satellite Image Analysis Using Gene Expression Programming.

J. Senthilnath, S. N. Omkar, V. Mani, Ashoka Vanjare, P. G. Diwakar

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Location Management in Mobile Computing Using Swarm Intelligence Techniques.

Nikhil Goel, J. Senthilnath, S. N. Omkar, V. Mani

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Multi-sensor Satellite Image Analysis Using Niche Genetic Algorithm for Flood Assessment.

J. Senthilnath, P. B. Shreyas, Ritwik Rajendra, S. N. Omkar, V. Mani, P. G. Diwakar

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Multi-objective Genetic Algorithm for efficient point matching in multi-sensor satellite image.

J. Senthilnath, S. N. Omkar, V. Mani, Naveen P. Kalro, P. G. Diwakar

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification.

S. N. Omkar, Nikhil Ramaswamy, J. Senthilnath, S. Bharath, N. S. Anuradha

Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

Quasi-Based Hierarchical Clustering for Land Cover Mapping Using Satellite Images.

J. Senthilnath, Ankur Raj, S. N. Omkar, V. Mani, Deepak Kumar

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

Spectral-Spatial MODIS Image Analysis Using Swarm Intelligence Algorithms and Region Based Segmentation for Flood Assessment.

J. Senthilnath, H. Vikram Shenoy, S. N. Omkar, V. Mani

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

Clustering Using Levy Flight Cuckoo Search.

J. Senthilnath, Vipul Das, S. N. Omkar, V. Mani

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

An Optimal Fuzzy Logic Controller Tuned with Artificial Immune System.

S. N. Omkar, Nikhil Ramaswamy, R. Ananda, N. G. Venkatesh, J. Senthilnath

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

Multi-temporal Satellite Image Analysis Using Unsupervised Techniques.

C. S. Arvind, Ashoka Vanjare, S. N. Omkar, J. Senthilnath, V. Mani, P. G. Diwakar

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011

Neural Network and Swarm Intelligence for Data Mining.

S. N. Omkar, J. Senthilnath

Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011

Clustering using firefly algorithm: Performance study.

J. Senthilnath, S. N. Omkar, V. Mani

Swarm Evol. Comput., 2011

Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures.

S. N. Omkar, J. Senthilnath, Rahul Khandelwal, G. Narayana Naik, S. Gopalakrishnan

Appl. Soft Comput., 2011

Multi-spectral satellite image classification using Glowworm Swarm Optimization.

J. Senthilnath, S. N. Omkar, V. Mani, N. Tejovanth, P. G. Diwakar, Shenoy B. Archana

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011