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An Applied Computer Mathematics Approach to Transliteration: YOLOv8-Based Detection of Harah Jawoe Script

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The big model of YOLOv8 achieved an accuracy of 99.95%, highlighting its effectiveness in handling complex scripts.
With a peak mAP50–95 of 72.4%, the YOLOv8 model demonstrates reliable performance in transliterating Harah Jawoe scripts.
Using a dataset of 9,000 images, this study introduces a novel word-level transliteration approach tailored for cultural heritage.
The research integrates object detection with script transliteration, suggesting significant implications for Southeast Asian digital accessibility.

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Research demonstrates effective transliteration of Harah Jawoe script using YOLOv8, suggesting enhancements in cultural preservation techniques.

AR et al. (2025) studied this question.

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Research demonstrates effective transliteration of Harah Jawoe script using YOLOv8, suggesting enhancements in cultural preservation techniques.