University of Twente Student Theses
Machine Learning Approaches in Extending the Capabilities of a Thermal Anemometer for Horticultural Applications
Choi, Jeong Young (2023) Machine Learning Approaches in Extending the Capabilities of a Thermal Anemometer for Horticultural Applications.
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| Full Text Status: | Access to this publication is restricted |
| Embargo date: | 7 July 2026 |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 33 physics, 53 electrotechnology, 54 computer science |
| Programme: | Electrical Engineering BSc (56953) |
| Link to this item: | https://purl.utwente.nl/essays/96207 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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