Automatic Scaffolding Productivity Measurement through Deep Learning
This study developed a method to automatically measure scaffolding productivity by extracting and analysing semantic information from onsite vision data.
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/88385 |
| _version_ | 1848765012341948416 |
|---|---|
| author | Ying, Wenzheng |
| author_facet | Ying, Wenzheng |
| author_sort | Ying, Wenzheng |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study developed a method to automatically measure scaffolding productivity by extracting and analysing semantic information from onsite vision data. |
| first_indexed | 2025-11-14T11:28:29Z |
| format | Thesis |
| id | curtin-20.500.11937-88385 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:28:29Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-883852022-05-05T01:32:23Z Automatic Scaffolding Productivity Measurement through Deep Learning Ying, Wenzheng This study developed a method to automatically measure scaffolding productivity by extracting and analysing semantic information from onsite vision data. 2021 Thesis http://hdl.handle.net/20.500.11937/88385 Curtin University fulltext |
| spellingShingle | Ying, Wenzheng Automatic Scaffolding Productivity Measurement through Deep Learning |
| title | Automatic Scaffolding Productivity Measurement
through Deep Learning |
| title_full | Automatic Scaffolding Productivity Measurement
through Deep Learning |
| title_fullStr | Automatic Scaffolding Productivity Measurement
through Deep Learning |
| title_full_unstemmed | Automatic Scaffolding Productivity Measurement
through Deep Learning |
| title_short | Automatic Scaffolding Productivity Measurement
through Deep Learning |
| title_sort | automatic scaffolding productivity measurement
through deep learning |
| url | http://hdl.handle.net/20.500.11937/88385 |