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The research reported in this thesis explores the application of computational methods, in particular methods that employ machine learning, in stylometric studies aiming to identify meaningful patterns and new insights in Quranic texts, i.e., texts in Classical Arabic from the Quran or from other writings inspired by the Quran in form and content.
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QEFSM model and Markov Algorithm for translating Quran reciting rules into Braille code
Journal of King Saud University - Computer and Information Sciences, 2015Khairuddin Omar
exaly
Prophets in the Quran: an introduction to the Quran and Muslim exegesis
Choice Reviews Online, 2003openaire +1 more source
Text Line Segmentation of Al-Quran Pages Using Binary Representation
Advanced Science Letters, 2017Azah Kamilah Muda +2 more
exaly
Classification for Quran Authentication Using Characters and Diacritics Hashed Values
Advanced Science Letters, 2017Madihah Mohd Saudi +2 more
exaly
The Effect of Holy Quran Voice on Mental Health
Journal of Religion and Health, 2014Monireh Mahjoob, Jalil Nejati
exaly
Towards a humanistic approach to the Quran: new direction in contemporary Islamic thought
Culture and Religion, 2019Ali Akbar
exaly

