"A DNN Framework for Learning Lagrangian Drift With Uncertainty."

Joseph Jenkins et al. (2023)

> Home

Details and statistics

DOI: 10.1007/S10489-023-04625-1

access: closed

type: Journal Article

metadata version: 2025-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/apin/JenkinsPOSVUG23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/apin/JenkinsPOSVUG23
Joseph Jenkins, Adeline Paiement, Yann Ourmières, Julien Le Sommer, Jacques Verron, Clément Ubelmann, Hervé Glotin:
A DNN Framework for Learning Lagrangian Drift With Uncertainty. Appl. Intell. 53(20): 23729-23739 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.