Articles | Volume 45, issue 1
https://doi.org/10.5194/jm-45-405-2026
https://doi.org/10.5194/jm-45-405-2026
Research article
 | 
19 May 2026
Research article |  | 19 May 2026

Artificial intelligence applied to the automated detection and identification of Devonian miospores

Vitalina Lokteva, Vahram Serobyan, Martin Tetard, Pierre Breuer, and Taniel Danelian

Viewed

Total article views: 192 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
130 54 8 192 6 8
  • HTML: 130
  • PDF: 54
  • XML: 8
  • Total: 192
  • BibTeX: 6
  • EndNote: 8
Views and downloads (calculated since 19 May 2026)
Cumulative views and downloads (calculated since 19 May 2026)

Viewed (geographical distribution)

Total article views: 192 (including HTML, PDF, and XML) Thereof 192 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
Short summary
This study develops a semi-automated workflow using artificial intelligence to detect and classify Devonian miospores in microscopic slides. Focusing on three biostratigraphically important species used for dating rocks and correlating distant localities, the method achieved high accuracy, reduced observer bias, and accelerated analysis. This workflow offers a scalable tool for research and potential industrial applications in fossil-based stratigraphy.
Share