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Automated lunar age detection through determining the day of the synodic month using convolutional neural networks.

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Title: Automated lunar age detection through determining the day of the synodic month using convolutional neural networks.
Authors: Nissar, Zaid1 (AUTHOR), Sheikh, Falah1 (AUTHOR), Marouf, Ahmed Al1 (AUTHOR) ahmedal.marouf@ucalgary.ca, Rokne, Jon1 (AUTHOR), Alhajj, Reda1,2,3 (AUTHOR) alhajj@ucalgary.ca
Source: Scientific Reports. 10/15/2025, Vol. 15 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 10/15/2025, Vol. 15 Issue 1, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188685192
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        Value: 10.1038/s41598-025-18165-w
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