SIMILARITY AETIKEL: Analyzing accident severity of motorcyclists using a Bayesian network

Lumba, Pada and Priyanto, Sigit and Muthohar, Imam SIMILARITY AETIKEL: Analyzing accident severity of motorcyclists using a Bayesian network. Songklanakarin Journal of Science and Technology.

[img] Text
Analyzing accident severity of motorcyclists using a Bayesian network.pdf
Download (1MB)
Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik > Teknik Sipil
Depositing User: Dr Pada Lumba
Date Deposited: 04 Oct 2022 06:01
Last Modified: 04 Oct 2022 06:01
URI: http://repository.upp.ac.id/id/eprint/1547

Actions (login required)

View Item View Item
repo is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.