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Fusing imperfect experimental data for risk assessment of musculoskeletal disorders in construction using canonical polyadic decomposition
Field or laboratory data collected for work-related musculoskeletal disorder (WMSD) risk assessment in construction often becomes unreliable as a large amount of data go missing due to technology-induced errors, instrument failures or sometimes at random. Missing data can adversely affect the assess...
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| Publicado no: | Autom Constr |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8064735/ https://ncbi.nlm.nih.gov/pubmed/33897107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.autcon.2020.103322 |
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