Data-Centric Structural Health Monitoring : : Mechanical, Aerospace and Complex Infrastructure Systems / / ed. by Mohammad Noori, Fuh-Gwo Yuan, Ehsan Noroozinejad Farsangi.
This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning approaches, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure system...
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Superior document: | Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
Year of Publication: | 2023 |
Language: | English |
Series: | Data-Centric Engineering ,
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Online Access: | |
Physical Description: | 1 online resource (X, 263 p.) |
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245 | 0 | 0 | |a Data-Centric Structural Health Monitoring : |b Mechanical, Aerospace and Complex Infrastructure Systems / |c ed. by Mohammad Noori, Fuh-Gwo Yuan, Ehsan Noroozinejad Farsangi. |
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2023] | |
264 | 4 | |c ©2023 | |
300 | |a 1 online resource (X, 263 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
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490 | 0 | |a Data-Centric Engineering , |x 2751-983X | |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning approaches, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure systems. Leading scholars in the field demonstrate these emerging techniques assure the longevity of engineered systems and predict their life cycles. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) | |
650 | 4 | |a Artificial Intelligence. | |
650 | 4 | |a Data analysis. | |
650 | 4 | |a Data-Centric Engineering. | |
650 | 4 | |a Machine Learning. | |
650 | 7 | |a Technology & Engineering / Environmental / General. |2 bisacsh | |
653 | |a Artificial Intelligence. | ||
653 | |a Data Analysis. | ||
653 | |a Data-Centric Engineering. | ||
653 | |a Machine Learning. | ||
653 | |a Sustainability. | ||
700 | 1 | |a Farsangi, Ehsan Noroozinejad, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
700 | 1 | |a Noori, Mohammad, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
700 | 1 | |a Yuan, Fuh-Gwo, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 English |z 9783111319292 |
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773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2023 English |z 9783111319124 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2023 |z 9783111318165 |o ZDB-23-DEI |
776 | 0 | |c EPUB |z 9783110791518 | |
776 | 0 | |c print |z 9783110791273 | |
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