Difference between revisions of "Adapt LoCoMotif to forklift data"
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Try out LoCoMotif on forklift data from Toyota Material Handling Europe, and adapt it as required: | Try out LoCoMotif on forklift data from Toyota Material Handling Europe, and adapt it as required: | ||
https://link.springer.com/article/10.1007/s10618-024-01032-z | https://link.springer.com/article/10.1007/s10618-024-01032-z | ||
https://github.com/ML-KULeuven/locomotif | https://github.com/ML-KULeuven/locomotif | ||
Latest revision as of 15:33, 9 September 2025
| Title | Adapt LoCoMotif to forklift data |
|---|---|
| Summary | LoCoMotif is a novel TSMD method able to discover motifs that have different lengths (variable-length motifs), exhibit slight temporal differences (time-warped motifs), and span multiple dimensions (multivariate motifs) |
| Keywords | |
| TimeFrame | Fall 2024 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Kunru Chen, ... |
| Level | Master |
| Status | Finished |
Try out LoCoMotif on forklift data from Toyota Material Handling Europe, and adapt it as required:
https://link.springer.com/article/10.1007/s10618-024-01032-z
https://github.com/ML-KULeuven/locomotif
