Hadhami Garbouge. Deep learning applied to multi-component imagery for variety testing problems. (Deep learning appliqué à l'imagerie multicomposante pour des problématiques de test de variétés). PhD thesis, University of Angers, France, 2022. [doi]
@phdthesis{hal-18782,
title = {Deep learning applied to multi-component imagery for variety testing problems. (Deep learning appliqué à l'imagerie multicomposante pour des problématiques de test de variétés)},
author = {Hadhami Garbouge},
year = {2022},
url = {https://tel.archives-ouvertes.fr/tel-03998577},
researchr = {https://researchr.org/publication/hal-18782},
cites = {0},
citedby = {0},
school = {University of Angers, France},
}