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Publications

System identification for enhanced flow description from multi-pulse PIV

Author(s): Patricia García-Caspueñas, Stefano Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics,, 2022, ISBN 978-989-53637-0-4
Publisher: International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics

High-resolution PIV with uncertainty estimation with KNN

Author(s): Iacopo Tirelli, Andrea Ianiro, Stefano Discetti
Published in: 19th International Symposium on Flow Visualization, 2021
Publisher: Shanghai Jiao Tong University

Data-driven estimated velocity and pressure fields using snapshot PIV and fast probes

Author(s): Junwei Chen, Marco Raiola, Stefano Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, 2022, ISBN 978-989-53637-0-4
Publisher: International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics

Assessing super-resolution GANs for randomly-seeded particle fields

Author(s): Alejandro Güemes, Carlos Sanmiguel Vila, Stefano Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, 2022, ISBN 978-989-53637-0-4
Publisher: International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics

From wall measurements to three-dimensional turbulent-flow fields via GANs

Author(s): Antonio Cuéllar Martín, Alejandro Güemes, Andrea Ianiro, Oscar Flores, Ricardo Vinuesa, and Stefano Discetti
Published in: 1st Spanish Fluid Mechanics Conference, 2022
Publisher: Universidad de Cádiz

Flow-field estimation of jet flow from point sensors

Author(s): Eduardo Gil, Manuel García Villalba, Stefano Discetti
Published in: 1st Spanish Fluid Mechanics Conference, 2022
Publisher: Universidad de Cádiz

Pressure from data-driven-estimated velocity fields using snapshot PIV and fast probes

Author(s): Marco Raiola, Junwei Chen, Stefano Discetti
Published in: 14th International Symposium on Particle Image Velocimetry, 2021
Publisher: Illinois Tech
DOI: 10.18409/ispiv.v1i1.157

Data-driven-estimated pressure from snapshot PIV and fast probes

Author(s): Junwei Chen, Marco Raiola, Stefano Discetti
Published in: 19th International Symposium on Flow Visualization, 2021
Publisher: Shanghai Jiao Tong University

GANs-based PIV resolution enhancement without the need of high-resolution input

Author(s): Alejandro Güemes, Carlos Sanmiguel Vila, Stefano Discetti
Published in: 14th International Symposium on Particle Image Velocimetry, 2021
Publisher: Illinois Tech
DOI: 10.18409/ispiv.v1i1.160

High-resolution PIV with uncertainty estimation with KNN

Author(s): Iacopo Tirelli, Andrea Ianiro, Stefano Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, 2022, ISBN 978-989-53637-0-4
Publisher: International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics

Data-driven methods to enhance the resolution of Particle Image Velocimetry

Author(s): Stefano Discetti
Published in: 19th International Symposium on Flow Visualization, 2021
Publisher: Shanghai Jiao Tong University

Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes

Author(s): Junwei Chen, Marco Raiola, Stefano Discetti
Published in: Experimental Thermal and Fluid Science, 8, 2022, ISSN 0894-1777
Publisher: Elsevier BV
DOI: 10.1016/j.expthermflusci.2022.110647

Roadmap on signal processing for next generation measurement systems

Author(s): Dimitris K. Iakovidis; Melanie Ooi; Ye Chow Kuang; Serge Demidenko; Serge Demidenko; Alexandr Shestakov; Vladimir Sinitsin; Manus Henry; Manus Henry; Andrea Sciacchitano; Stefano Discetti; Silvano Donati; Michele Norgia; Andreas Menychtas; Ilias Maglogiannis; Selina Wriessnegger; Luis Alberto Barradas Chacon; George Dimas; Dimitris Filos; Dimitris Filos; Anthony H. Aletras; Anthony H. Aletras; Joh
Published in: Measurement Science and Technology, 1, 2021, Page(s) 9-10, ISSN 1361-6501
Publisher: IOP PUBLISHING LTD
DOI: 10.5445/ir/1000141111