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Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Didem, Turk | - |
| dc.date.accessioned | 2023-04-04T03:37:51Z | - |
| dc.date.available | 2023-04-04T03:37:51Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s00004-023-00705-4 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7477 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | The research focuses on the application of AI in the field of urban morphology. The research takes urban blocks as a case study and treats urban block-related high-resolution images as data. The aim is to train an AI model to automatically detect urban block to conduct further quantitative analysis. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | urban morphology | vi |
| dc.subject | urban block-related high-resolution images as data | vi |
| dc.title | Artificial Intelligence and Urban Block—Building the Common Language | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Khoa học Tự nhiên | |
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