A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability

  1. Stoean, C.
  2. Ionescu, L.
  3. Stoean, R.
  4. Boicea, M.
  5. Atencia, M.
  6. Joya, G.
Book Series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 1611-3349,  0302-9743

ISBN: 9783030850982

Year of publication: 2021

Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Proceedings

Volume: 12862 LNCS

Pages: 260-271

Type: Conference paper

DOI: 10.1007/978-3-030-85099-9_21 GOOGLE SCHOLAR

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Data source: Scopus