Elimination of Data Modification in Sensor Nodes of WSN Using Deep Learning Model-Reference-Cited by-同舟云学术

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Elimination of Data Modification in Sensor Nodes of WSN Using Deep Learning Model

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer, Power and Communications (ICCPC)
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Author:

Surendiran J.¹,Nathisiya B. Mary²,RadhaKrishnan A.³,Stella J. Mary⁴,Marimuthu M.⁵,Balaji N.⁶

Affiliation:

1. HKBKCE,Department of ECE,Bangalore,India

2. Stella Mary's College of Engineering,Nagercoil,India

3. University College of Engineering,Nagercoil,India

4. HKBKCE,Department of CSE,Bangalore,india

5. Sona College of Technology,Department of CSE,Tamilnadu,India

6. Sri Venkataswara college of technology,Department of ECE,vadangal,india

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072005/10072027/10072261.pdf?arnumber=10072261

Reference19 articles.

1. 2022 Implementation of super resolution in images based on generative Adversarial network;reddy;ICSSSM12,2022

2. Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

3. An improved fruit fly optimization algorithm and its application to joint replenishment problems

4. A fast and robust approach for automated segmentation of breast cancer nuclei;lee;Proc IASTED Int Conf Comput Graph Imag,0

5. A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm

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