A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features

This study examines whether the socio-demographic factors and cognitive sign features can be used for envisaging safety signs comprehensibility using predictive machine learning (ML) techniques. This study will determine the role of different machine learning components such as feature selection and...

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Detalles Bibliográficos
Autores principales: Rostamzadeh, Sajjad, Abouhossein, Alireza, Saremi, Mahnaz, Taheri, Fereshteh, Ebrahimian, Mobin, Vosoughi, Shahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322991/
https://www.ncbi.nlm.nih.gov/pubmed/37407611
http://dx.doi.org/10.1038/s41598-023-38065-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322991/
https://www.ncbi.nlm.nih.gov/pubmed/37407611
http://dx.doi.org/10.1038/s41598-023-38065-1

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