{"id":"doi:10.1016/j.trc.2014.04.013","kind":"article","title":"Improving rail network velocity: A machine learning approach to predictive maintenance","authors":["Hongfei Li","Dhaivat Parikh","Qing He","Buyue Qian","Zhiguo Li","Dongping Fang","Arun Hampapur"],"author_count":7,"year":2014,"published":"2014-05-16","venue":"Transportation Research Part C Emerging Technologies","cited_by":213,"doi":"10.1016/j.trc.2014.04.013","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.trc.2014.04.013","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.trc.2014.04.013","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W1981433115","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Transportation Systems and Safety"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}