Mesure de l'intégrité d'une image : des modèles physiques aux modèles d'apprentissage profond

Boubacar Diallo

Open source

DOI: 10.70675/f6c54617zbddcz40b8za53ez34d4034f028e
Published: Not recorded
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Publisher: Agence Bibliographique de l'Enseignement Supérieur
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.70675/f6c54617zbddcz40b8za53ez34d4034f028e,
  title = {Mesure de l'intégrité d'une image : des modèles physiques aux modèles d'apprentissage profond},
  author = {Boubacar Diallo},
  doi = {10.70675/f6c54617zbddcz40b8za53ez34d4034f028e},
  url = {https://doi.org/10.70675/f6c54617zbddcz40b8za53ez34d4034f028e}
}

RIS

TY  - JOUR
TI  - Mesure de l'intégrité d'une image : des modèles physiques aux modèles d'apprentissage profond
AU  - Boubacar Diallo
DO  - 10.70675/f6c54617zbddcz40b8za53ez34d4034f028e
UR  - https://doi.org/10.70675/f6c54617zbddcz40b8za53ez34d4034f028e
ER  -

APA

Diallo, B. (n.d.). Mesure de l'intégrité d'une image : des modèles physiques aux modèles d'apprentissage profond. https://doi.org/10.70675/f6c54617zbddcz40b8za53ez34d4034f028e

Source records

crossref · retrieved 2026-09-27T04:09:01.191Z