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Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning
1 references·1 citing·9 second hop
Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning (2023)Computational framework for the evaluatio…Archaeometallurgical investigation of ancient artefacts’ degradation phenomenon (2019)Archaeometallurgical investig…Angle-Dependent XRF Analyses: Pros and Cons of a Novel Technique in the Field of Cultural Heritage (2024)Angle-Dependent XRF Analyses:…Characterization of Delhi iron pillar rust by X-ray diffraction, Fourier transform infrared spectroscopy and Mössbauer spectroscopy (2000)Corrosion of iron archaeological artefacts in soil: characterisation of the corrosion system (2004)Slag inclusions in iron objects and the quest for provenance: an experiment and a case study (2009)Uncovering the superior corrosion resistance of iron made via ancient Indian iron-making practice (2021)Corrosion Behavior of Ancient Indian Iron Artifacts: A Comparative Study (2025)Nanostructured Silver Found in Ancient Dacian Bracelets from Cehei Hoard—Salaj, Romania (2025)In Situ Noninvasive Study of Artworks: The MOLAB Multitechnique Approach (2010)Ceramic raw materials: how to recognize them and locate the supply basins: chemistry (2020)Ceramic technology: how to recognize clay processing (2020)
this work references cited by second hop

References

  • 2019Archaeometallurgical investigation of ancient artefacts’ degradation phenomenon12 cited

Cited by

  • 2024Angle-Dependent XRF Analyses: Pros and Cons of a Novel Technique in the Field of Cultural Heritage7 cited

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