Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks - Archive ouverte HAL Access content directly
Journal Articles Applied Sciences Year : 2022

Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks

M. Koubiti
  • Function : Author
  • PersonId : 12336
  • IdHAL : koubiti
Physique des interactions ioniques et moléculaires

Domains

Physics [physics] Physics [physics] Plasma Physics [physics.plasm-ph] Computer Science [cs] Artificial Intelligence [cs.AI]

Mohammed Koubiti  : Connect in order to contact the contributor

https://hal-amu.archives-ouvertes.fr/hal-03798724

Submitted on : Wednesday, October 5, 2022-2:14:16 PM

Last modification on : Friday, March 24, 2023-2:53:28 PM

Not file

Dates and versions

hal-03798724 , version 1 (05-10-2022)

Identifiers

  • HAL Id : hal-03798724 , version 1

Cite

M. Koubiti. Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks. Applied Sciences, 2022. ⟨hal-03798724⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS UNIV-AMU PIIM
3 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More