J.Senthilnath, PhD (IISc)
J.Senthilnath, PhD (IISc)
Other namesSenthilnath Jayavelu
Senior Scientist, I2R, AI3, A*STAR, Singapore
Verified email at - Homepage
Cited by
Cited by
Clustering using firefly algorithm: Performance study
J Senthilnath, SN Omkar, V Mani
Swarm and Evolutionary Computation 1 (3), 164-171, 2011
Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures
SN Omkar, J Senthilnath, R Khandelwal, GN Naik, S Gopalakrishnan
Applied Soft Computing 11 (1), 489-499, 2011
Exploration of scaling effects on coarse resolution land surface phenology
X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, J Senthilnath, ...
Remote Sensing of Environment 190, 318-330, 2017
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
X Zhang, J Senthilnath, L Liu, MA Friedl, GM Henebry, Y Liu, CB Schaaf, ...
Agricultural and Forest Meteorology 256, 137-149, 2018
Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV
J Senthilnath, A Dokania, M Kandukuri, KN Ramesh, G Anand, SN Omkar
Biosystems Engineering 146, 16-32, 2016
Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods
J Senthilnath, M Kandukuri, A Dokania, KN Ramesh
Computers and Electronics in Agriculture 140, 8-24, 2017
Integrated phenology and climate in rice yields prediction using machine learning methods
Y Guo, Y Fu, F Hao, X Zhang, W Wu, X Jin, CR Bryant, J Senthilnath
Ecological Indicators 120, 106935, 2021
Multi-uav oxyrrhis marina-inspired search and dynamic formation control for forest firefighting
K Harikumar, J Senthilnath, S Sundaram
IEEE Transactions on Automation Science and Engineering 16 (2), 863-873, 2019
Generation and evaluation of the VIIRS land surface phenology product
X Zhang, L Liu, Y Liu, J Senthilnath, J Wang, M Moon, GM Henebry, ...
Remote Sensing of Environment 216, 212-229, 2018
A Novel Approach for Multispectral Satellite Image Classification Based on the Bat Algorithm
J Senthilnath, S Kulkarni, JA Benediktsson, XS Yang
IEEE Geoscience and Remote Sensing Letters 13 (4), 599-603, 2016
Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform
Y Guo, J Senthilnath, W Wu, X Zhang, Z Zeng, H Huang
Sustainability 11 (4), 978, 2019
Two-step machine learning enables optimized nanoparticle synthesis
F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ...
npj Computational Materials, Nature Publishing Group 7 (1), 1-10, 2021
Detection of the power lines in UAV remote sensed images using spectral-spatial methods
R Bhola, NH Krishna, KN Ramesh, J Senthilnath, G Anand
Journal of environmental management 206, 1233-1242, 2018
Clustering Using Levy Flight Cuckoo Search
J Senthilnath, V Das, SN Omkar, V Mani
Proceedings of Seventh International Conference on Bio-Inspired Computing …, 2013
Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning
M Rautela, J Senthilnath, J Moll, S Gopalakrishnan
Ultrasonics 115, 106451, 2021
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ...
Matter, Cell Press 5 (1), 314-335, 2022
Crop classification using biologically-inspired techniques with high resolution satellite image
SN Omkar, J Senthilnath, D Mudigere, MM Kumar
Journal of the Indian Society of Remote Sensing 36 (2), 175-182, 2008
Hierarchical clustering algorithm for land cover mapping using satellite images
J Senthilnath, SN Omkar, V Mani, N Tejovanth, PG Diwakar, AB Shenoy
IEEE journal of selected topics in applied earth observations and remote …, 2012
Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods
Y Guo, G Yin, H Sun, H Wang, S Chen, J Senthilnath, J Wang, Y Fu
Sensors 20 (18), 5130, 2020
Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV
Y Guo, H Wang, Z Wu, S Wang, H Sun, J Senthilnath, J Wang, ...
Sensors 20 (18), 5055, 2020
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