Roberto Sáez-Hernández
Biographic Data
| ID | 6668498 |
|---|---|
| NAME | Roberto Sáez-Hernández |
| GIVEN NAMES | Roberto |
| FAMILY NAME | Sáez-Hernández |
| SIGNATURE | SÁEZ-HERNÁNDEZ R |
| AFFILIATIONS | Universitat de València |
| ORCID | 0000-0001-9010-9445 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
Red inorganic pigments (cinnabar, minium, and hematite) were selected. • A semiquantitative method using visible spectroscopy and digital imaging is shown. • SVM and ANN models estimate metal content in inorganic pigments. • RMSE for Fe, Pb, and Hg was ≤ 3.5 % with R2 up to 0.99. • Fast, affordable and non-invasive approach applicable to in-situ cultural heritage. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing data ana…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
Red inorganic pigments (cinnabar, minium, and hematite) were selected. • A semiquantitative method using visible spectroscopy and digital imaging is shown. • SVM and ANN models estimate metal content in inorganic pigments. • RMSE for Fe, Pb, and Hg was ≤ 3.5 % with R2 up to 0.99. • Fast, affordable and non-invasive approach applicable to in-situ cultural heritage. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing data ana…
Art (2 works) · Conservation Techniques and Studies (2 works) · Cultural Heritage Materials Analysis (2 works) · Materials Science (2 works) · Optics (2 works) · Painting (2 works) · Pigment (2 works) · Visual arts (2 works) · Advanced Chemical Sensor Technologies (1 work) · Analytical Chemistry (journal (1 work)