A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS
Bachelor's
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| Format: | Dissertation |
| Language: | English |
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2021
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/221262 |
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sg-nus-scholar.10635-2212622022-05-13T02:43:58Z A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS LIM JIA RONG BUILDING YAN KE 2020-2021 Building Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) Yan Ke Research Subject Categories::NATURAL SCIENCES::Earth sciences::Exogenous earth sciences::Physical geography Research Subject Categories::TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Geoengineering Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2021-06-01T08:41:51Z 2022-04-22T17:32:56Z 2021-06-14 2022-04-22T17:32:56Z 2021-06-01 Dissertation LIM JIA RONG (2021-06-01). A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/221262 en https://lib.sde.nus.edu.sg/dspace/handle/sde/5037 |
| institution |
National University of Singapore |
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NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
2020-2021 Building Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) Yan Ke Research Subject Categories::NATURAL SCIENCES::Earth sciences::Exogenous earth sciences::Physical geography Research Subject Categories::TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Geoengineering |
| spellingShingle |
2020-2021 Building Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) Yan Ke Research Subject Categories::NATURAL SCIENCES::Earth sciences::Exogenous earth sciences::Physical geography Research Subject Categories::TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Geoengineering LIM JIA RONG A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| description |
Bachelor's |
| author2 |
BUILDING |
| author_facet |
BUILDING LIM JIA RONG |
| format |
Dissertation |
| author |
LIM JIA RONG |
| author_sort |
LIM JIA RONG |
| title |
A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| title_short |
A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| title_full |
A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| title_fullStr |
A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| title_full_unstemmed |
A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS |
| title_sort |
novel approach to forecasting short univariate tunnel settlement data through multi-task multi-channel training of adjacent tunnel points |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/221262 |
| _version_ |
1734309537469431808 |