Prediction Model for Digitizing History

By using a neural network, it accurately interprets degraded inscriptions. By using neural net- works, it accurately interprets degraded inscriptions affected by weathering and damage. The non-invasive methodology ensures integrity while confronting the challenges of deciphering intricate and eroded scripts. It provides historians and archaeologists with an efficient tool to decode and analyze historical information at scale. This innovative approach bridges technology and heritage preservation, transforming the study of ancient civilizations.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-07-24
DOI
https://doi.org/10.36948/ijfmr.2025.v07i04.50966
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction Model for Digitizing History

shilpa vantakar
International Journal For Multidisciplinary Research
Computational and Text Analysis Methods
article

Prediction Model for Digitizing History

shilpa vantakar
article en

Abstract

By using a neural network, it accurately interprets degraded inscriptions. By using neural net- works, it accurately interprets degraded inscriptions affected by weathering and damage. The non-invasive methodology ensures integrity while confronting the challenges of deciphering intricate and eroded scripts. It provides historians and archaeologists with an efficient tool to decode and analyze historical information at scale. This innovative approach bridges technology and heritage preservation, transforming the study of ancient civilizations.

International Journal For Multidisciplinary ResearchVol. 7(4)
Openalex Percentile: Top 72%
Computational and Text Analysis Methods
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Prediction Model for Digitizing History — shilpa vantakar · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS