| 005 |
20240411094117.0 |
| 008 |
230719s2024 sz eng d |
| 022 |
|a2076-3417 (online) |
| 040 |
|bspa |
| 041 |
|aeng |
| 100 |
1 |aIntxausti Arbaiza, Eneko |
| 245 |
10|aA Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images|hDocumento científico MGEP|cEneko Intxausti, Danijel Skocaj, Carlos Cernuda and Ekhi Zugasti |
| 260 |
|c2024 |
| 300 |
|a18 p |
| 500 |
|aArgitaratuta/Publicado |
| 500 |
|aAcceso Abierto. CC-BY |
| 500 |
|aAPC (formulario). 2495.58 EUR |
| 508 |
|aNA/RI |
| 536 |
|aGobierno Vasco. Grupos SISI. IT1676-22 |
| 536 |
|aGobierno Vasco. Elkartek 2022. KK-2022/00049. Deep learning REcommended Manufacturing Imperfection Novelty Detection. DREMIND |
| 546 |
|aInglés |
| 590 |
|aJCR|b2.7|cENGINEERING, MULTIDISCIPLINARY|dQ2|e42/90|f2022 |
| 590 |
|aSJR|b0.492|cFluid Flow and Transfer Processes|dC2|e33/87|f2022|f2024-02-23 |
| 590 |
|aCiteScore|b4.5|cGeneral Engineering|dCS2|e73/302|f2022 |
| 590 |
|aWeb of Science |
| 590 |
|aScopus |
| 653 |
|aArtículo |
| 653 |
|a2023-2024 |
| 653 |
|aAnálisis de datos y ciberseguridad |
| 653 |
|aODS 9 Industria, innovación e infraestructura |
| 700 |
1 |aSkocaj, Danijel |
| 700 |
1 |aCernuda García, Carlos |
| 700 |
1 |aZugasti Uriguen, Ekhi |
| 710 |
2 |aMondragon Goi Eskola Politeknikoa |
| 710 |
2 |aUniversity of Ljubljana |
| 773 |
|tApplied Sciences. Vol. 14. N. 7. N. art. 2785, |
| 856 |
40|uhttps://hdl.handle.net/20.500.11984/6343|yTestu osorako sarbidea/Acceso al texto completo /Full text access |
| 856 |
|uhttps://doi.org/10.3390/app14072785 |
