VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1699
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen Ngoc Thuy Linh | en_US |
dc.date.accessioned | 2023-10-01T08:57:45Z | - |
dc.date.available | 2023-10-01T08:57:45Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1699 | - |
dc.description.abstract | This study employs a predictive model to demonstrate the impacts of geological conditions, operating conditions and structural parameters on the total load. The model’s accuracy is confirmed by validating with the force from the tunneling process | en_US |
dc.language.iso | en | en_US |
dc.subject | Online process data | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Mechanized tunneling | en_US |
dc.title | Online process data utilization using machine learning techniques in mechanized tunneling | en_US |
dc.type | Thesis | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
item.grantfulltext | restricted | - |
Appears in Collections: | Computational Engineering (CompEng) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
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Online process data utilization using machine learning techniques in mechanized tunneling.pdf | 4.57 MB | Adobe PDF |
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