Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring
This thesis proposes novel techniques in building a generic framework for both the regression and classification tasks in vastly different applications domains such as computer vision and civil engineering. Many frameworks have been proposed and combined into a complex deep network design to provide...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70569 |
| _version_ | 1848762283163910144 |
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| author | Pathirage, Chathurdara Sri Nadith |
| author_facet | Pathirage, Chathurdara Sri Nadith |
| author_sort | Pathirage, Chathurdara Sri Nadith |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis proposes novel techniques in building a generic framework for both the regression and classification tasks in vastly different applications domains such as computer vision and civil engineering. Many frameworks have been proposed and combined into a complex deep network design to provide a complete solution to a wide variety of problems. The experiment results demonstrate significant improvements of all the proposed techniques towards accuracy and efficiency. |
| first_indexed | 2025-11-14T10:45:06Z |
| format | Thesis |
| id | curtin-20.500.11937-70569 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:45:06Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-705692019-11-19T06:28:13Z Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring Pathirage, Chathurdara Sri Nadith This thesis proposes novel techniques in building a generic framework for both the regression and classification tasks in vastly different applications domains such as computer vision and civil engineering. Many frameworks have been proposed and combined into a complex deep network design to provide a complete solution to a wide variety of problems. The experiment results demonstrate significant improvements of all the proposed techniques towards accuracy and efficiency. 2018 Thesis http://hdl.handle.net/20.500.11937/70569 Curtin University fulltext |
| spellingShingle | Pathirage, Chathurdara Sri Nadith Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title_full | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title_fullStr | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title_full_unstemmed | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title_short | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring |
| title_sort | novel deep learning techniques for computer vision and structure health monitoring |
| url | http://hdl.handle.net/20.500.11937/70569 |