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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation
3 references·0 citing·13 second hop
Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation (2025)Comparison and Interpretability Analysis …Deep learning assisted XRF spectra classification (2024)Deep learning assisted XRF sp…Application interface design of Chongqing intangible cultural heritage based on deep learning (2023)Application interface design …Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method (2022)Neural network-based classifi…The colour of ochres explained by their composition (2005)Visualization of a Lost Painting by Vincent van Gogh Using Synchrotron Radiation Based X-ray Fluorescence Elemental Mapping (2008)A mobile instrument for in situ scanning macro-XRF investigation of historical paintings (2013)Deep learning for enhanced spectral analysis of MA-XRF datasets of paintings (2024)Machine learning in analytical chemistry for cultural heritage: A comprehensive review (2024)Digitizing Intangible Cultural Heritage Embodied: State of the Art (2022)Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory (2022)Sustainable Cultural Innovation Practice: Heritage Education in Universities and Creative Inheritance of Intangible Cultural Heritage Craft (2023)The application of artificial intelligence in the revitalization of intangible cultural heritage helps the cultural industry succeed (2025)Quantitative non‐destructive determination of trace elements in archaeological pottery using a portable beam stability‐controlled XRF spectrometer (2005)Non-Invasive and Non-Destructive Examination of Artistic Pigments, Paints, and Paintings by Means of X-Ray Methods (2016)MA-XRF for the Characterisation of the Painting Materials and Technique of the Entombment of Christ by Rogier van der Weyden (2021)Physico‐chemical characterisation and light stability of dyes and pigments found in cultural heritage objects: Insights from microfading testing for assessing light fastness (2024)
this work references cited by second hop

References

  • 2022Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method35 cited
  • 2024Deep learning assisted XRF spectra classification25 cited
  • 2023Application interface design of Chongqing intangible cultural heritage based on deep learning19 cited

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