Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)
| dc.contributor.author | Rothmann-Brumm, Pauline | |
| dc.date.accessioned | 2023-05-16T15:08:26Z | |
| dc.date.available | 2023-05-16T15:08:26Z | |
| dc.date.created | 2023 | |
| dc.date.issued | 2023-05-16 | |
| dc.description | This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the [HYPA-p](https://doi.org/10.48328/tudatalib-1150) dataset. The developed algorithm performs singular value decomposition (SVD) and training of several machine learning classifiers, such as k-Nearest Neighbors (kNN). The classifiers are trained and tested on labeled data. Afterwards, the trained classifiers can be used for automated classification of unlabeled data. Further information can be found in the provided README-file. | de_DE |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3843 | |
| dc.identifier.uri | https://doi.org/10.48328/tudatalib-1152 | |
| dc.language.iso | en | de_DE |
| dc.rights.license | CC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0) | |
| dc.subject | MATLAB code | de_DE |
| dc.subject | reduced-order modeling | de_DE |
| dc.subject | pattern classification | de_DE |
| dc.subject | singular value decomposition | de_DE |
| dc.subject | machine learning | de_DE |
| dc.subject | gravure printing | de_DE |
| dc.subject | hydrodynamic pattern formation | de_DE |
| dc.subject.classification | 4.21-03 | |
| dc.subject.classification | 4.22-03 | |
| dc.subject.classification | 4.31-03 | |
| dc.subject.ddc | 660 | |
| dc.subject.ddc | 620 | |
| dc.title | Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code) | de_DE |
| dc.type | Text | de_DE |
| dc.type | Software | de_DE |
| dc.type | Image | de_DE |
| dc.type | Other | de_DE |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | 0000-0002-8220-0676 | |
| tuda.history.classification | Version=2020-2024;403-03 Mechanische Verfahrenstechnik | |
| tuda.history.classification | Version=2020-2024;404-03 Strömungsmechanik | |
| tuda.history.classification | Version=2020-2024;405-03 Beschichtungs- und Oberflächentechnik | |
| tuda.project | DFG | SFB1194 | TP C01 Dörsam | |
| tuda.unit | TUDa |
Files
Original bundle
1 - 8 of 8
| Name | Description | Size | Format | |
|---|---|---|---|---|
| README_MachLearn_ImgClass.txt | 10.03 KB | Plain Text | ||
| code_MachLearn_ImgClass.zip | 269.47 MB | ZIP-Archivdateien | ||
| dots_all.mat | 4.34 GB | Unknown data format | ||
| fingers_all.mat | 6.41 GB | Unknown data format | ||
| mixed_all.mat | 1.74 GB | Unknown data format | ||
| SVD_data.zip | 36.53 GB | ZIP-Archivdateien | ||
| S-subfields_B3-01.mat | 21.58 GB | Unknown data format | ||
| S-subfields_B3-05.mat | 21.22 GB | Unknown data format |