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Sevugan Prabu
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2020 – today
- 2022
- [j13]Tamilarasi Rajamani, Sevugan Prabu, Sathyaraj Ragupathi:
Automatic building footprint extraction and road detection from hyperspectral imagery. J. Electronic Imaging 32(1) (2022) - 2021
- [j12]R. Tamilarasi, Sevugan Prabu:
Automated building and road classifications from hyperspectral imagery through a fully convolutional network and support vector machine. J. Supercomput. 77(11): 13243-13261 (2021) - 2020
- [j11]Sevugan Prabu, Gopinath Ganapathy:
Steganographic approach to enhance the data security in public cloud. Int. J. Comput. Aided Eng. Technol. 13(3): 388-408 (2020) - [j10]R. Venkatesan, Sevugan Prabu:
Spectral and spatial features-based HSI classification using multiple neuron-based learning approach. Int. J. Cloud Comput. 9(2/3): 163-177 (2020)
2010 – 2019
- 2019
- [j9]S. L. Aarthy, Sevugan Prabu:
Classification of breast cancer based on thermal image using support vector machine. Int. J. Bioinform. Res. Appl. 15(1): 51-67 (2019) - [j8]R. Venkatesan, Sevugan Prabu:
Hyperspectral Image Features Classification Using Deep Learning Recurrent Neural Networks. J. Medical Syst. 43(7): 216:1-216:10 (2019) - [j7]R. Venkatesan, Sevugan Prabu:
Hyper spectral dimensionality reduction using hybrid discriminative local metric learning. Microprocess. Microsystems 71 (2019) - 2018
- [j6]S. Meenatchi, Sevugan Prabu:
Investigation on different clustering techniques in wireless sensor networks. Int. J. Adv. Intell. Paradigms 10(1/2): 194-207 (2018) - [j5]M. P. Gopinath, Sevugan Prabu:
An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images. Int. J. Comput. Aided Eng. Technol. 10(5): 513-529 (2018) - [j4]Chandrasekar Vanmathi, Sevugan Prabu:
Image Steganography Using Fuzzy Logic and Chaotic for Large Payload and High Imperceptibility. Int. J. Fuzzy Syst. 20(2): 460-473 (2018) - [j3]R. Sathyaraj, Sevugan Prabu:
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. 17(4): 483-496 (2018) - [j2]S. Meenatchi, Sevugan Prabu:
Cluster-based EA-PATM protocol for energy consumption in hierarchical WSNs. Int. J. Reason. based Intell. Syst. 10(3/4): 233-241 (2018) - [c1]R. Venkatesan, Sevugan Prabu:
Feature Extraction from Hyperspectral Image Using Decision Boundary Feature Extraction Technique. SocProS (2) 2018: 927-940 - 2016
- [j1]R. M. Swarna Priya, Sevugan Prabu, V. S. Dharun:
F-SIFT and FUZZY-RVM based efficient multi-temporal image segmentation approach for remote sensing applications. Autom. Control. Comput. Sci. 50(3): 151-164 (2016)
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