IEEE Access
(Jan 2024)
Corrections to “A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM”
- Asisa Kumar Panigrahy,
- Shima Ramesh Maniyath,
- Mithileysh Sathiyanarayanan,
- Mohan Dholvan,
- T. Ramaswamy,
- Sudheer Hanumanthakari,
- N. Arun Vignesh,
- S. Kanithan,
- Raghunandan Swain
Affiliations
- Asisa Kumar Panigrahy
- ORCiD
- Department of ECE, Faculty of Science and Technology (Icfaitech), ICFAI Foundation for Higher Education Hyderabad, Hyderabad, Telangana, India
- Shima Ramesh Maniyath
- Department of ECE, MVJ College of Engineering, Bengaluru, Karnataka, India
- Mithileysh Sathiyanarayanan
- Research & Innovation Centre, MIT Square, London, U.K.
- Mohan Dholvan
- Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
- T. Ramaswamy
- Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
- Sudheer Hanumanthakari
- ORCiD
- Department of ECE, Faculty of Science and Technology (Icfaitech), ICFAI Foundation for Higher Education Hyderabad, Hyderabad, Telangana, India
- N. Arun Vignesh
- ORCiD
- Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology (GRIET), Hyderabad, Telangana, India
- S. Kanithan
- Department of CSE, Jain University, Bengaluru, Karnataka, India
- Raghunandan Swain
- ORCiD
- Department of ETC, Parala Maharaja Engineering College, Berhampur, India
- DOI
-
https://doi.org/10.1109/ACCESS.2024.3464189
- Journal volume & issue
-
Vol. 12
pp.
137522
– 137522
Abstract
Read online
Presents corrections to the paper, Corrections to “A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM”.
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