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A cross-climate study of solar-loading thermography for heritage: workflow portability via adaptive decomposition, low-rank projection, and active benchmarking

Crossref DOI link: https://doi.org/10.1038/s40494-025-02237-1

Published Online: 2026-01-31

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ding, Yinuo

Russo, Gilda

Zhang, Zhiyang

Marini, Elena

Yang, Dazhi

Wen, Qian

Sfarra, Stefano

Zhang, Hai
Funding

Funding for this research was provided by:

Italian Ministry of University and Research (PGR02110)

National Key R&D Program of China (2023YFE0197800)
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Text and Data Mining valid from 2026-01-31

Version of Record valid from 2026-01-31
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Article History

Received: 17 September 2025

Accepted: 28 November 2025

First Online: 31 January 2026

Competing interests

: The authors declare no competing interests.

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