Nombre de documents archivés : 2.
    Bavandsavadkoohi, Mojtaba; Gloaguen, Erwan; Tokhmechi, Behzad; Arab-Amiri, Alireza et Giroux, Bernard  ORCID: https://orcid.org/0000-0002-2042-2759
  
(2025).
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains.
    Earth Science Informatics
	  , vol. 18
	  , nº 2.
	
     p. 353.
     DOI: 10.1007/s12145-025-01858-1.
ORCID: https://orcid.org/0000-0002-2042-2759
  
(2025).
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains.
    Earth Science Informatics
	  , vol. 18
	  , nº 2.
	
     p. 353.
     DOI: 10.1007/s12145-025-01858-1. 
  
  
    Penda Biondokin, Eric; Bavandsavadkoohi, Mojtaba; Tirdad, Shiva et Gloaguen, Erwan  ORCID: https://orcid.org/0000-0002-9400-0276
  
(2025).
Training Super-Resolution deep learning algorithms for high resolution aeromagnetic maps generation from low resolution aeromagnetic maps.
    In: European Geosciences Union (EGU) General Assembly, 27 avril-2 mai 2025, Vienne, Autriche.
  
   (Soumis)
ORCID: https://orcid.org/0000-0002-9400-0276
  
(2025).
Training Super-Resolution deep learning algorithms for high resolution aeromagnetic maps generation from low resolution aeromagnetic maps.
    In: European Geosciences Union (EGU) General Assembly, 27 avril-2 mai 2025, Vienne, Autriche.
  
   (Soumis)
Cette liste a été générée le  Fri Oct 31 01:52:51 2025 EDT.