Improving vehicle diagnostic solutions for heavy-duty vehicles through machine learning
| dc.contributor.author | Galonja, Gabriella | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Svensson, Tommy | |
| dc.date.accessioned | 2021-01-14T12:05:01Z | |
| dc.date.available | 2021-01-14T12:05:01Z | |
| dc.date.issued | 2020 | sv |
| dc.date.submitted | 2020 | |
| dc.identifier.coursecode | EENX30 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/302154 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.title | Improving vehicle diagnostic solutions for heavy-duty vehicles through machine learning | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Systems, control and mechatronics (MPSYS), MSc |