Stochastic geometry for 3D characterization of dense particle populations: application to two-phase flows - Mines Saint-Étienne
Conference Papers Year : 2021

Stochastic geometry for 3D characterization of dense particle populations: application to two-phase flows

Domains

Chemical and Process Engineering Signal and Image Processing Modeling and Simulation Probability [math.PR]

Fatima Lillouch  : Connect in order to contact the contributor

https://hal-emse.ccsd.cnrs.fr/emse-03538048

Submitted on : Thursday, January 20, 2022-5:18:48 PM

Last modification on : Tuesday, September 17, 2024-3:45:47 PM

No file

Dates and versions

emse-03538048 , version 1 (20-01-2022)

Identifiers

  • HAL Id : emse-03538048 , version 1

Cite

Mathieu de Langlard. Stochastic geometry for 3D characterization of dense particle populations: application to two-phase flows. ECSIA'2021 : The 13th European Congress for Stereology and Image Analysis, Mines Saint-Etienne - Institut Mines Telecom (IMT), Jun 2021, Saint-Etienne, France. ⟨emse-03538048⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

EMSE CEA CNRS TDS-MACS INSTITUT-MINES-TELECOM
27 View
0 Download

Share

More