Probabilistic model forecasting for rail wear in seoul metro based on bayesian theory

Min Chul Jeong, Seung Jung Lee, Kyunghwa Cha, Goangseup Zi, Jun g Sik Kong

Research output: Contribution to journalArticle

4 Citations (Scopus)

Fingerprint Dive into the research topics of 'Probabilistic model forecasting for rail wear in seoul metro based on bayesian theory'. Together they form a unique fingerprint.

Chemical Compounds

Engineering & Materials Science