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Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction

Abstract This paper presents a comprehensive approach to harmonizing lunar calendars across different global regions, addressing the long-standing challenge of variations in new crescent Moon sightings that mark the beginning of lunar months. We propose a machine learning (ML)-based framework to pre...

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Main Authors: Samia Loucif, Murad Al-Rajab, Raed Abu Zitar, Mahmoud Rezk
Format: Artigo
Language:Inglês
Published: SpringerOpen 2024-08-01
Series:Journal of Big Data
Subjects:
Crescent visibility
Machine learning
Lunar calendar
Prediction
Hyperparameter tuning
Feature selection
Online Access:https://doi.org/10.1186/s40537-024-00979-6
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