Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/166232| Author(s): | Tiago Daniel dos Santos Leitão e Sousa |
| Title: | Deep learning strategies for UAV-based inspection of photovoltaic panels |
| Issue Date: | 2025-03-20 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/mpa0-a760 |
| TID identifier: | 204119855 |
| URI: | https://hdl.handle.net/10216/166232 |
| Document Type: | Dissertação |
| Rights: | embargoedAccess |
| Embargo End Date: | 2028-03-19 |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 717925.pdf Restricted Access | Deep learning strategies for UAV-based inspection of photovoltaic panels | 23.01 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.