Machine learning reads conservation test papers to reconstruct old ink chemistry
Researchers trained a neural network on paired indicator-paper and ink measurements from archival manuscripts, recovering elemental ink compositions from protected ...
Researchers trained a neural network on paired indicator-paper and ink measurements from archival manuscripts, recovering elemental ink compositions from protected ...
Residues in pottery from Keeladi and Gottiprolu provide molecular evidence of cow's milk use and plant processing between roughly 600 ...
A quantitative contour analysis of 60 Song–Yuan long-necked vases identified nine morphological variables that distinguish the two periods with 81.7% ...
A survey study of 504 Digital Dunhuang users found cultural identity was the strongest predictor of continuance and recommendation intentions.
Researchers combined laser scanning, ambient vibration measurements at 63 positions, and finite-element modeling to identify twelve global vibration modes of ...
An MGWR-XGBoost-SHAP analysis of 2,177 traditional villages in Southwest China reveals hierarchical clustering in northwestern Yunnan and southeastern Guizhou, with ...
A nationwide analysis of 127 Chinese historical and cultural cities finds that heritage–tourism coordination is highly scale-sensitive and that predictive ...
An analysis of 371,918 classical Chinese poems identifies five aggregate spatial prototypes associated with pavilions, terraces, towers, the term gé, ...
Researchers report that a thiourea dioxide–amine borane blend outperforms single reductants in decolorizing waterlogged archaeological wood while maintaining near-neutral pH.
A new study combines hydrological simulation, machine learning and spatial statistics to rank flood risk for 5,482 historic buildings across ...
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© 2026 Scienmag - Science Magazine