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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Bibliografiset tiedot
Julkaisussa:Autom Constr
Päätekijät: Dutta, Amrita, Breloff, Scott P., Dai, Fei, Sinsel, Erik W., Carey, Robert E., Warren, Christopher M., Wu, John Z.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2020
Aiheet:
Article
Linkit: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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