Application of Data Fusion via Canonical Polyadic Decomposition in Risk Assessment of Musculoskeletal Disorders in Construction: Procedure and Stability Evaluation

Autor:	John Z. Wu, Amrita Dutta, Scott P. Breloff, Christopher Warren, Erik W. Sinsel, Robert E. Carey, Fei Dai
Rok vydání:	2021
Předmět:	Data collection Computer science Strategy and Management 0211 other engineering and technologies Stability (learning theory) food and beverages 02 engineering and technology Building and Construction Sensor fusion computer.software_genre medicine.disease Construction site safety Musculoskeletal disorder Risk indicators 021105 building & construction Industrial relations 0202 electrical engineering electronic engineering information engineering Decomposition (computer science) medicine 020201 artificial intelligence & image processing Data mining Risk assessment computer Civil and Structural Engineering
Zdroj:	Journal of Construction Engineering and Management. 147
ISSN:	1943-7862 0733-9364
DOI:	10.1061/(asce)co.1943-7862.0002106
Popis:	Missing data is a common problem in data collection for work-related musculoskeletal disorder (WMSD) risk-assessment studies. It can cause incompleteness of risk indicators, leading to erro...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::607b4245f75315badf3a294ed8213120 https://doi.org/10.1061/(asce)co.1943-7862.0002106 Zobrazit plný text záznamu