USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING
Master's
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Language: | English |
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2024
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/249414 |
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sg-nus-scholar.10635-2494142024-10-25T18:37:30Z USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING ZHANG HAO CIVIL & ENVIRONMENTAL ENGINEERING Hongjian Du 3D concrete printing, wall-type structure, buildability, fresh properties, numerical simulation, machine learning Master's MASTER OF ENGINEERING (CDE) 2024-08-13T02:30:51Z 2024-08-13T02:30:51Z 2024-01-24 Thesis ZHANG HAO (2024-01-24). USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/249414 0009-0001-3756-8180 en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
3D concrete printing, wall-type structure, buildability, fresh properties, numerical simulation, machine learning |
spellingShingle |
3D concrete printing, wall-type structure, buildability, fresh properties, numerical simulation, machine learning ZHANG HAO USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
description |
Master's |
author2 |
CIVIL & ENVIRONMENTAL ENGINEERING |
author_facet |
CIVIL & ENVIRONMENTAL ENGINEERING ZHANG HAO |
format |
Theses and Dissertations |
author |
ZHANG HAO |
author_sort |
ZHANG HAO |
title |
USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
title_short |
USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
title_full |
USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
title_fullStr |
USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
title_full_unstemmed |
USING MACHINE LEARNING TO PREDICT BUILDABILITY OF 3D CONCRETE PRINTING |
title_sort |
using machine learning to predict buildability of 3d concrete printing |
publishDate |
2024 |
url |
https://scholarbank.nus.edu.sg/handle/10635/249414 |
_version_ |
1821199575265837056 |