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ORCIDKunj Bihari Meena
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2020 – today
- 2024
[j6]Yogesh Iyer Murthy
, Kunj Bihari Meena, Nileshkumar R. Patel:
Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress. Eng. Appl. Artif. Intell. 137: 109090 (2024)- 2023
- [j5]Kunj Bihari Meena, Vipin Tyagi:
Image splicing forgery detection using noise level estimation. Multim. Tools Appl. 82(9): 13181-13198 (2023) - [c5]Kunj Bihari Meena, Vipin Tyagi:
A Novel Method for Near-Duplicate Image Detection Using Global Features. ICACDS 2023: 136-149 - 2022
- [c4]Jyotiraditya Singh Tomar, Parishkrat Mishra, Akash Gupta, Kunj Bihari Meena, Vipin Tyagi:
A Proposed Model for Precision Agriculture. ICACDS (2) 2022: 430-441 - 2021
- [j4]Kunj Bihari Meena, Vipin Tyagi:
Distinguishing computer-generated images from photographic images using two-stream convolutional neural network. Appl. Soft Comput. 100: 107025 (2021) - [c3]Kunj Bihari Meena, Vipin Tyagi:
Image Splicing Forgery Detection Techniques: A Review. ICACDS (2) 2021: 364-388 - 2020
- [j3]Kunj Bihari Meena, Vipin Tyagi:
A copy-move image forgery detection technique based on tetrolet transform. J. Inf. Secur. Appl. 52: 102481 (2020) - [j2]Kunj Bihari Meena, Vipin Tyagi:
A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms. Multim. Tools Appl. 79(11-12): 8197-8212 (2020) - [c2]Kunj Bihari Meena, Vipin Tyagi:
A Deep Learning Based Method to Discriminate Between Photorealistic Computer Generated Images and Photographic Images. ICACDS 2020: 212-223
2010 – 2019
- 2019
- [j1]Kunj Bihari Meena, Vipin Tyagi:
A copy-move image forgery detection technique based on Gaussian-Hermite moments. Multim. Tools Appl. 78(23): 33505-33526 (2019) - [c1]Kunj Bihari Meena, Vipin Tyagi:
Methods to Distinguish Photorealistic Computer Generated Images from Photographic Images: A Review. ICACDS (1) 2019: 64-82
Coauthor Index
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