Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts

Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu. Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. In Matteo Cristani, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022. Volume 207 of Procedia Computer Science, pages 1303-1311, Elsevier, 2022. [doi]

@inproceedings{StoeanBISBGG22,
  title = {Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts},
  author = {Ruxandra Stoean and Nebojsa Bacanin and Leonard Ionescu and Catalin Stoean and Marinela Boicea and Alina-Maria Garau and Cristina-Camelia Ghitescu},
  year = {2022},
  doi = {10.1016/j.procs.2022.09.186},
  url = {https://doi.org/10.1016/j.procs.2022.09.186},
  researchr = {https://researchr.org/publication/StoeanBISBGG22},
  cites = {0},
  citedby = {0},
  pages = {1303-1311},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022},
  editor = {Matteo Cristani and Carlos Toro 0001 and Cecilia Zanni-Merk and Robert J. Howlett and Lakhmi C. Jain},
  volume = {207},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}