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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mata, J. | pt_BR |
dc.date.accessioned | 2022-04-01T10:20:54Z | pt_BR |
dc.date.accessioned | 2022-04-08T09:05:44Z | - |
dc.date.available | 2022-04-01T10:20:54Z | pt_BR |
dc.date.available | 2022-04-08T09:05:44Z | - |
dc.date.issued | 2017-07 | pt_BR |
dc.identifier.uri | https://repositorio.lnec.pt/jspui/handle/123456789/1014789 | - |
dc.description.abstract | To show how quality control of data, statistics, Machine Learning, and Artificial Intelligence will change Infrastructure Safety and Risk Management and Public Safety Forever is expected with the RESTATE project. This work aims to develop methodologies and procedures to support decision-making for the timely safety control of large infrastructures under operating conditions. This project aims to address new methodologies based on Deep Learning to create value in three main activities: quality control of monitoring data, analysis and interpretation of the structural behaviour, and safety assessment. | pt_BR |
dc.language.iso | eng | pt_BR |
dc.publisher | University of Deusto Rovira i Virgili University | pt_BR |
dc.rights | openAccess | pt_BR |
dc.subject | Concrete dam | pt_BR |
dc.subject | Decision support system | pt_BR |
dc.subject | Machine Learning | pt_BR |
dc.title | RESTATE Project: Real-time decision support system for safety assessment of large concrete dams. The action cycle: Data-Information-Knowledge-Decision Making | pt_BR |
dc.type | conferenceObject | pt_BR |
dc.description.pages | 1 | pt_BR |
dc.identifier.local | Bilbao, Spain | pt_BR |
dc.description.sector | DBB/NO | pt_BR |
dc.identifier.conftitle | nternational Summer School on Deep Learning 2017 | pt_BR |
dc.contributor.peer-reviewed | SIM | pt_BR |
dc.contributor.academicresearchers | NAO | pt_BR |
dc.contributor.arquivo | SIM | pt_BR |
Appears in Collections: | DBB/NO - Comunicações a congressos e artigos de revista |
Files in This Item:
File | Description | Size | Format | |
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2017_Jmata_DeepLearning2017.pdf | 525.37 kB | Adobe PDF | View/Open |
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