Person
Song Zhai
M.Sc.Fluidverfahrenstechnik
Wissenschaftliches Personal
Adresse
Gebäude: 5001
Forckenbeckstraße 51
52074 Aachen
Kontakt
- WorkPhone
- Telefon: +49 241 80 47843
Fax
Fax:
+49 241 80 92332
E-Mail:
song.zhai@avt.rwth-aachen.de
Publikationen
| Titel | Autor(en) |
|---|---|
| Mask R-CNN based droplet detection in liquid-liquid systems, Part 2: Methodology for determining training and image processing parameter values improving droplet detection accuracy Erschienen in: The chemical engineering journal (2023) | Sibirtsev, Stepan Zhai, Song Neufang, Mathias Seiler, Jakob Jupke, Andreas |
| Techno‐Economic Comparison of Bio‐Cycling Processes for Mixed Plastic Waste Valorization Erschienen in: Chemie - Ingenieur - Technik (2023) | Reifsteck, Rafael Antonio Zhai, Song Gausmann, Marcel Ballerstedt, Hendrik Tiso, Till Blank, Lars M. Jupke, Andreas (Corresponding author) |
| Extraction Technologies at ACHEMA 2022 Erschienen in: Chemie - Ingenieur - Technik : CIT (2023) | Palmtag, Andreas Schröder, Christian Pascal Zhai, Song Jupke, Andreas (Corresponding author) |
| Convolutional neural networks based droplet detection method Erschienen in: Chemie - Ingenieur - Technik : CIT (2022) | Sibirtsev, Stephan (Corresponding author) Zhai, Song Jupke, Andreas (Corresponding author) |