has been cited by the following article(s):
[1]
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A data transformation process for using Benford's Law with bounded data
Emerald Open Research,
2023
DOI:10.1108/EOR-03-2023-0013
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[2]
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Real or Fake? A Practical Method for Detecting Tempered Images
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS),
2022
DOI:10.1109/IPAS55744.2022.10052973
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[3]
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An Investigation of Benford’s Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images
Gazi University Journal of Science Part A: Engineering and Innovation,
2022
DOI:10.54287/gujsa.1077430
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[4]
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Real or Fake? A Practical Method for Detecting Tempered Images
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS),
2022
DOI:10.1109/IPAS55744.2022.10052973
|
|
|
[5]
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An Investigation of Benford’s Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images
Gazi University Journal of Science Part A: Engineering and Innovation,
2022
DOI:10.54287/gujsa.1077430
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[6]
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A data transformation process for using Benford’s Law with bounded data
Emerald Open Research,
2021
DOI:10.35241/emeraldopenres.14374.1
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[7]
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Generalized Benford’s Law for Fake Fingerprint Detection
2020 IEEE Applied Signal Processing Conference (ASPCON),
2020
DOI:10.1109/ASPCON49795.2020.9276660
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