IEEE Access
(Jan 2024)
Corrections to “A Deep Learning Framework for the Classification of Brazilian Coins”
Debabrata Swain,
Viral Rupapara,
Amro Nour,
Santosh Satapathy,
Biswaranjan Acharya,
Shakti Mishra,
Ali Bostani
Affiliations
Debabrata Swain
ORCiD
Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India
Viral Rupapara
Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India
Amro Nour
ORCiD
College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait
Santosh Satapathy
Department of Information and Communication Technology, Pandit Deendayal Energy University, Gandhinagar, India
Biswaranjan Acharya
ORCiD
Department of Computer Engineering-AI & Big Data Analytics, Marwadi University, Rajkot, Gujarat, India
Shakti Mishra
Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India
Ali Bostani
College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait
DOI
https://doi.org/10.1109/ACCESS.2024.3401388
Journal volume & issue
Vol. 12
pp.
70000
– 70000
Abstract
Read online
In the above article [1], ChatGPT was used to improve the English writing in the abstract and in Section II: Literature Survey. As per IEEE PSPB policy, the use of content generated by AI in an article shall be disclosed in the acknowledgments section of any article submitted to an IEEE publication. The purpose of this correction is to address the lack of disclosure in the published article.
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