Code for training and using the spray segmentation models

DOI

This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.

Identifier
DOI https://doi.org/10.18419/darus-4147
Related Identifier IsCitedBy https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4147
Provenance
Creator Jose, Basil ORCID logo; Hampp, Fabian ORCID logo
Publisher DaRUS
Contributor Hampp, Fabian; Jose, Basil
Publication Year 2024
Funding Reference DFG 456687251 ; SimTech
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Hampp, Fabian (Universität Stuttgart); Jose, Basil (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/x-python; application/octet-stream; text/markdown; image/png
Size 1874; 399431687; 367532279; 2504; 3387; 2690; 4889; 309982; 1198
Version 1.0
Discipline Chemistry; Construction Engineering and Architecture; Engineering; Engineering Sciences; Fluid Mechanics; Heat Energy Technology, Thermal Machines, Fluid Mechanics; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Natural Sciences; Thermal Engineering/Process Engineering