The RMSEs of the predicted and measured strain values.
<p>The RMSEs of the predicted and measured strain values.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852019705780371456 |
|---|---|
| author | Yanqing Men (20283876) |
| author2 | Hu Li (130600) Fengzhou Liu (16848231) Yongliang Huang (1731505) Mingxin Gao (502701) Xiaohui Wang (19899) Hao Xie (406287) Jianxin Cao (4180960) |
| author2_role | author author author author author author author |
| author_facet | Yanqing Men (20283876) Hu Li (130600) Fengzhou Liu (16848231) Yongliang Huang (1731505) Mingxin Gao (502701) Xiaohui Wang (19899) Hao Xie (406287) Jianxin Cao (4180960) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yanqing Men (20283876) Hu Li (130600) Fengzhou Liu (16848231) Yongliang Huang (1731505) Mingxin Gao (502701) Xiaohui Wang (19899) Hao Xie (406287) Jianxin Cao (4180960) |
| dc.date.none.fl_str_mv | 2025-06-03T17:50:00Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324816.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/The_RMSEs_of_the_predicted_and_measured_strain_values_/29228600 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Biotechnology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified various coupled effects singular value decomposition time adaptive thresholds decomposed monitoring data bridge structural safety monitoring data based leveraging data reconstruction data reconstruction time detection structural response bridge structures based prediction measured data xlink "> warning system warning method thereby decoupling term memory study proposes significant difficulty prediction model influencing factors enabling real effectively detecting dynamic early deep learning contribution rate complex interplay calculates real bridges involves |
| dc.title.none.fl_str_mv | The RMSEs of the predicted and measured strain values. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>The RMSEs of the predicted and measured strain values.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_0ec3c98f62041c782824c06e976203ea |
| identifier_str_mv | 10.1371/journal.pone.0324816.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29228600 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The RMSEs of the predicted and measured strain values.Yanqing Men (20283876)Hu Li (130600)Fengzhou Liu (16848231)Yongliang Huang (1731505)Mingxin Gao (502701)Xiaohui Wang (19899)Hao Xie (406287)Jianxin Cao (4180960)BiochemistryBiotechnologyImmunologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedvarious coupled effectssingular value decompositiontime adaptive thresholdsdecomposed monitoring databridge structural safetymonitoring data basedleveraging data reconstructiondata reconstructiontime detectionstructural responsebridge structuresbased predictionmeasured dataxlink ">warning systemwarning methodthereby decouplingterm memorystudy proposessignificant difficultyprediction modelinfluencing factorsenabling realeffectively detectingdynamic earlydeep learningcontribution ratecomplex interplaycalculates realbridges involves<p>The RMSEs of the predicted and measured strain values.</p>2025-06-03T17:50:00ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0324816.t002https://figshare.com/articles/dataset/The_RMSEs_of_the_predicted_and_measured_strain_values_/29228600CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292286002025-06-03T17:50:00Z |
| spellingShingle | The RMSEs of the predicted and measured strain values. Yanqing Men (20283876) Biochemistry Biotechnology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified various coupled effects singular value decomposition time adaptive thresholds decomposed monitoring data bridge structural safety monitoring data based leveraging data reconstruction data reconstruction time detection structural response bridge structures based prediction measured data xlink "> warning system warning method thereby decoupling term memory study proposes significant difficulty prediction model influencing factors enabling real effectively detecting dynamic early deep learning contribution rate complex interplay calculates real bridges involves |
| status_str | publishedVersion |
| title | The RMSEs of the predicted and measured strain values. |
| title_full | The RMSEs of the predicted and measured strain values. |
| title_fullStr | The RMSEs of the predicted and measured strain values. |
| title_full_unstemmed | The RMSEs of the predicted and measured strain values. |
| title_short | The RMSEs of the predicted and measured strain values. |
| title_sort | The RMSEs of the predicted and measured strain values. |
| topic | Biochemistry Biotechnology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified various coupled effects singular value decomposition time adaptive thresholds decomposed monitoring data bridge structural safety monitoring data based leveraging data reconstruction data reconstruction time detection structural response bridge structures based prediction measured data xlink "> warning system warning method thereby decoupling term memory study proposes significant difficulty prediction model influencing factors enabling real effectively detecting dynamic early deep learning contribution rate complex interplay calculates real bridges involves |