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ORCIDE. S. Gopi
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2020 – today
- 2024
[j11]Vinodha K.
, E. S. Gopi:
Analyzing the performance improvement of hierarchical binary classifiers using ACO through Monte Carlo simulation and multiclass engine vibration data. Expert Syst. Appl. 238(Part B): 121730 (2024)- [j10]Vinodha K., E. S. Gopi, Bhatnagar Dhruv Bhagwanswaroop, A. Palani Kumar:
Generalized Soil Texture Classification Using Systematic Generation of Mixtures Based on USDA Soil Classification Triangle. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - 2023
- [j9]Rajasekharreddy Poreddy, E. S. Gopi:
Improvement of accuracy of under-performing classifier in decision making using discrete memoryless channel model and Particle Swarm Optimization. Expert Syst. Appl. 213(Part C): 118929 (2023) - [d1]Vinodha K., E. S. Gopi, Tushar Agnibhoj:
LiDAR dataset for object localization. IEEE DataPort, 2023
- 2021
- [b1]E. S. Gopi:
Digital Signal Processing for Wireless Communication using Matlab, Second Edition. Springer 2021, ISBN 978-3-030-82035-0, pp. 1-222 - [j8]Jaya Brindha G., E. S. Gopi:
An hierarchical approach for automatic segmentation of leaf images with similar background using kernel smoothing based Gaussian process regression. Ecol. Informatics 63: 101323 (2021) - [j7]M. Neema, E. S. Gopi:
Data Driven Approach for mmWave Channel Characteristics Prediction Using Deep Neural Network. Wirel. Pers. Commun. 120(3): 2161-2177 (2021) - 2020
- [i1]Pranav Mani, E. S. Gopi, Koushik Kumaran, Hrishikesh Shekhar, Sharan Chandra:
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors. CoRR abs/2011.00836 (2020)
2010 – 2019
- 2018
- [j6]Gunaseelan JayaBrindha, E. S. Gopi Subbu:
Ant Colony Technique for Optimizing the Order of Cascaded SVM Classifier for Sunflower Seed Classification. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 78-88 (2018) - 2015
- [j5]E. S. Gopi Subbu, Palanisamy Ponnusamy:
Neural network based class-conditional probability density function using kernel trick for supervised classifier. Neurocomputing 154: 225-229 (2015) - 2014
- [j4]E. S. Gopi Subbu, Palanisamy Ponnusamy:
Maximizing Gaussianity using kurtosis measurement in the kernel space for kernel linear discriminant analysis. Neurocomputing 144: 329-337 (2014) - 2013
- [j3]E. S. Gopi Subbu, Palanisamy Ponnusamy:
Fast computation of PCA bases of image subspace using its inner-product subspace. Appl. Math. Comput. 219(12): 6729-6732 (2013) - [j2]E. S. Gopi Subbu, Palanisamy Ponnusamy:
Formulating particle swarm optimization based membership linear discriminant analysis. Swarm Evol. Comput. 12: 65-73 (2013) - 2010
- [c3]E. S. Gopi:
A novel approach to transformed biometrics using successive projections. ICDIP 2010: 75461Z
2000 – 2009
- 2007
- [j1]E. S. Gopi:
Digital image forgery detection using artificial neural network and independent component analysis. Appl. Math. Comput. 194(2): 540-543 (2007) - 2006
- [c2]E. S. Gopi Subbu, N. Lakshmanan, T. Gokul, S. KumaraGanesh, Prerak R. Shah:
Digital Image Forgery Detection using Artificial Neural Network and Auto Regressive Coefficients. CCECE 2006: 194-197 - 2004
- [c1]E. S. Gopi, R. Lakshmi, R. Narasimha, S. M. Shereen Farzana:
Music Indexing Using Independent Component Analysis with Pseudo-generated Sources. ICA 2004: 1237-1244
Coauthor Index
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