eBook
Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
| Title: | Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications |
|---|---|
| Description: | Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers. |
| Authors: | Mohammad Noori, Carlo Rainieri, Marco Domaneschi, Vasilis Sarhosis, Wael A. Altabey |
| Resource Type: | eBook. |
| Subjects: | Structural analysis (Engineering)--Data processing |
| Categories: | TECHNOLOGY & ENGINEERING / Structural, TECHNOLOGY & ENGINEERING / Sensors, COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3678212 RelevancyScore: 969 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 968.509704589844 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications – Name: Abstract Label: Description Group: Ab Data: Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mohammad+Noori%22">Mohammad Noori</searchLink><br /><searchLink fieldCode="AR" term="%22Carlo+Rainieri%22">Carlo Rainieri</searchLink><br /><searchLink fieldCode="AR" term="%22Marco+Domaneschi%22">Marco Domaneschi</searchLink><br /><searchLink fieldCode="AR" term="%22Vasilis+Sarhosis%22">Vasilis Sarhosis</searchLink><br /><searchLink fieldCode="AR" term="%22Wael+A%2E+Altabey%22">Wael A. Altabey</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Structural+analysis+%28Engineering%29--Data+processing%22">Structural analysis (Engineering)--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Structural%22">TECHNOLOGY & ENGINEERING / Structural</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Sensors%22">TECHNOLOGY & ENGINEERING / Sensors</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3678212 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 624.1710285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Structural analysis (Engineering)--Data processing Type: general Titles: – TitleFull: Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohammad Noori – PersonEntity: Name: NameFull: Carlo Rainieri – PersonEntity: Name: NameFull: Marco Domaneschi – PersonEntity: Name: NameFull: Vasilis Sarhosis – PersonEntity: Name: NameFull: Wael A. Altabey – PersonEntity: Name: NameFull: Mohammad Noori – PersonEntity: Name: NameFull: Carlo Rainieri – PersonEntity: Name: NameFull: Marco Domaneschi – PersonEntity: Name: NameFull: Vasilis Sarhosis – PersonEntity: Name: NameFull: Wael A. Altabey IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 02 M: 02 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781032308371 – Type: isbn-print Value: 9781032308388 – Type: isbn-electronic Value: 9781000965551 – Type: isbn-electronic Value: 9781000965582 – Type: isbn-electronic Value: 9781003306924 Titles: – TitleFull: Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications Type: main |
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