Machine learning in analytical chemistry for cultural heritage
A comprehensive review
Bibliographic Data
| ID | 15063449 |
|---|---|
| Authors | Aleksandra Towarek (0000-0001-7086-7513, University of Warsaw, corresponding author), Ludwik Halicz (Geological Survey of Israel), Stan Matwin (0000-0001-6629-8434, Dalhousie University), Barbara Wagner (0000-0002-5398-6438, University of Warsaw) |
| Year | 2024 |
| Volume | 70 |
| Pages | 64-70 |
| Publication date | 2024-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Heritage (JOURNAL) |
| Journal identifiers | ISSN: 1296-2074 • E-ISSN: 1778-3674 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.culher.2024.08.014 |
| OpenAlex | W4402483999 |
| Language | EN |
| Citations received | 4 |
| References cited | 34 |
Archaeology · Cultural heritage · Engineering ethics · Management science · Building materials and conservation · Conservation Techniques and Studies · Cultural Heritage Materials Analysis · Engineering · History
Implementation of Ecological Sustainability Goals in Public Industrial Heritage Facilities in Europe
Artificial Intelligence in Heritage Tourism
AI-based experts’ knowledge visualization of cultural heritage
An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |