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An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.

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Title: An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.
Authors: Al-Rajab M; College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates., Loucif S; College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates., Zitar RA; College of Engineering and Computing, Liwa University, Abu Dhabi, United Arab Emirates., Abdu-Aguye MG; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
Source: Frontiers in artificial intelligence [Front Artif Intell] 2026 Feb 13; Vol. 9, pp. 1727824. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.
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  Data: <searchLink fieldCode="AU" term="%22Al-Rajab+M%22">Al-Rajab M</searchLink>; College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Loucif+S%22">Loucif S</searchLink>; College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Zitar+RA%22">Zitar RA</searchLink>; College of Engineering and Computing, Liwa University, Abu Dhabi, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Abdu-Aguye+MG%22">Abdu-Aguye MG</searchLink>; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
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  Data: <searchLink fieldCode="JN" term="%22101770551%22">Frontiers in artificial intelligence</searchLink> [Front Artif Intell] 2026 Feb 13; Vol. 9, pp. 1727824. <i>Date of Electronic Publication: </i>2026 Feb 13 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101770551 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2624-8212 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226248212%22">26248212 </searchLink><i>NLM ISO Abbreviation: </i>Front Artif Intell <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41766946
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        Value: 10.3389/frai.2026.1727824
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      – Code: eng
        Text: English
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        StartPage: 1727824
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      – TitleFull: An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.
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            – D: 13
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              Text: 2026 Feb 13
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              Value: 9
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