AtheneForschung - Informationsportal der UniBw M

Benutzer: Gast

Home / Alle Inhalte

Publikationen (Universitätsbibliografie)

Projekte

Elektronische Prüfungsarbeiten

Open-Access-Publikationen

Fakultäten (univ.) (1152)

Fakultäten (HAW) (112)

An-Institute

Forschungszentren (271)

Weitere Einrichtungen (94)

Kongresse (315)

13th International Symposium on Particle Image Velocimetry (ISPIV 2019) (173)

Proceedings

1.1.A 3D Methods I (2)

1.1.B Algorithms & Techiques I (2)

1.1.C Boundary Layers I (2)

1.1.D Biological Flows I (2)

1.2.A 3D Methods II (5)

1.2.B Algorithms & Techniques II (5)

1.2.C Boundary Layers II (5)

1.2.D Biological Flows II (5)

1.3.A 3D Applications I (6)

1.3.B Uncertainty Quantification (6)

1.3.C Aerodynamics (6)

1.3.D Convection & Heat (6)

1.4.A 3D Applications II (6)

1.4.B Post-processing (5)

1.4.C Flexible Wings (6)

1.4.D Enignes & Combustion (6)

2.1.A 3D Applications III (3)

2.1.B Deep Learning & Data Assimilation I (3)

2.1.C Transition (3)

2.1.D Micro Flows (3)

2.2.A Seeding (5)

2.2.B Deep Learning & Data Assimilation II (4)

2.2.C Flow Control I (5)

2.2.D Echo PIV (5)

2.3.A 3D Methods III (3)

2.3.B Deep Learning & Data Assimilation III (3)

2.3.C Flow Control I (3)

2.3.D Transport & Mixing (3)

3.1.A 3D Methods IV (3)

3.1.B Pressure & Force I (3)

3.1.C Applications I (3)

3.1.D Multiphase Flows I (3)

3.2.A 3D Single Camera I (5)

3.2.B Pressure & Force II (5)

3.2.C Applications II (5)

3.2.D Multiphase Flows II (5)

3.3.A 3D Single Camera II (3)

3.3.B Pressure & Force III (3)

3.3.C Applications III (3)

3.3.D Jets I (3)

3.4.A PTV Methods (3)

3.4.B Pressure & Force IV (3)

3.4.C Applications IV (3)

3.4.D Jets II (2)

5th International Conference on Experimental Fluid Mechanics 2018 Munich (142)

Preprints (33)

inside.unibw (34)

Patente

Forschungsdaten

Forschungsprofile

Videos für die UniBw M-Webseite

Digitalisierte Medien

AG E-Learning

Materialien der Universitätsbibliothek

Home / Alle InhalteOpen-Access-PublikationenKongresse13th International Symposium on Particle Image Velocimetry (ISPIV 2019)2.2.B Deep Learning & Data Assimilation II

Sortieren nach:
und:

Artikel pro Seite

Ohmi, K.:
Deep Convolutional Matching based PIV
. In: Proceedings of the 13th International Symposium on Particle Image Velocimetry,
2019

Konferenzbeitrag / Conference Paper

Godet, P.;Champagnat, F.;Le Besnerais, G.;Plyer, A.:
Learning fluid trajectory models for time-resolved PIV
. In: Proceedings of the 13th International Symposium on Particle Image Velocimetry,
2019

Konferenzbeitrag / Conference Paper

Go, T.;Lee, S. J.:
Deep learning-based enhancement of digital holographic particle tracking velocimetry
. In: Proceedings of the 13th International Symposium on Particle Image Velocimetry,
2019

Konferenzbeitrag / Conference Paper

Kim, D.;Kim, K. C.:
Data assimilation for PIV based on adaptive neuro fuzzy inference system (ANFIS)
. In: Proceedings of the 13th International Symposium on Particle Image Velocimetry,
2019

Konferenzbeitrag / Conference Paper

Sortieren nach:
und: