Sevugan Prabu

Orcid: 0000-0002-5797-1655

According to our database1, Sevugan Prabu authored at least 14 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Automatic building footprint extraction and road detection from hyperspectral imagery.
J. Electronic Imaging, 2022

2021
Automated building and road classifications from hyperspectral imagery through a fully convolutional network and support vector machine.
J. Supercomput., 2021

2020
Spectral and spatial features-based HSI classification using multiple neuron-based learning approach.
Int. J. Cloud Comput., 2020

Steganographic approach to enhance the data security in public cloud.
Int. J. Comput. Aided Eng. Technol., 2020

2019
Hyper spectral dimensionality reduction using hybrid discriminative local metric learning.
Microprocess. Microsystems, 2019

Hyperspectral Image Features Classification Using Deep Learning Recurrent Neural Networks.
J. Medical Syst., 2019

Classification of breast cancer based on thermal image using support vector machine.
Int. J. Bioinform. Res. Appl., 2019

2018
Cluster-based EA-PATM protocol for energy consumption in hierarchical WSNs.
Int. J. Reason. based Intell. Syst., 2018

A hybrid approach to improve the quality of software fault prediction using Naïve Bayes and k-NN classification algorithm with ensemble method.
Int. J. Intell. Syst. Technol. Appl., 2018

Image Steganography Using Fuzzy Logic and Chaotic for Large Payload and High Imperceptibility.
Int. J. Fuzzy Syst., 2018

An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images.
Int. J. Comput. Aided Eng. Technol., 2018

Investigation on different clustering techniques in wireless sensor networks.
Int. J. Adv. Intell. Paradigms, 2018

Feature Extraction from Hyperspectral Image Using Decision Boundary Feature Extraction Technique.
Proceedings of the Soft Computing for Problem Solving, 2018

2016
F-SIFT and FUZZY-RVM based efficient multi-temporal image segmentation approach for remote sensing applications.
Autom. Control. Comput. Sci., 2016


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