Retraction

Detecting Digital Watermarking Image Attacks Using a Convolution Neural Network Approach

Paper Information

Record ID:
59851
Author(s):
Publication Date:
June 06, 2022
Retraction Date:
December 06, 2023 (2.0 year years ago)
Subjects:
Article Type:
Publisher:
Hindawi
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Citations (2)

2
Total Citations
0
Post-Retraction
0
Pre-Retraction
1
Same Day
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Retracted: Detecting Digital Watermarking Image Attacks Using a Convolution Neural Network Approach
Security and Communication Networks
Security and Communication Networks Open Access
Published: Dec 2023
Same day as retraction
Quick Stats
Total Citations: 2
Years Since Retraction: 2.0 year
Open Access: Yes
Last Checked: Jul 24, 2025
Related Papers
Model for software quality evaluation with hesitant fuzzy u…
Journal of Intelligent & Fuzzy Systems • 57 citations
A consensus approach to multi-granular linguistic MCGDM wit…
Journal of Intelligent & Fuzzy Systems • 24 citations
Independent hesitant fuzzy group decision making methods wi…
Journal of Intelligent & Fuzzy Systems • 7 citations
HGPSO: An efficient scientific workflow scheduling in cloud…
Journal of Intelligent & Fuzzy Systems • 5 citations
A novel hash based feature descriptors for content based im…
Journal of Intelligent & Fuzzy Systems • 4 citations