Open AccessApplication of machine learning methods for predicting hazardous failures of railway track assets
Author(s) -
И. Б. Шубинский,
А. М. Замышляев,
О. Б. Проневич,
А. Н. Игнатов,
Е.П. Платонов
Publication year - 2020
Publication title -
nadëžnostʹ
Language(s) - English
Resource type - Journals
eISSN - 2500-3909
pISSN - 1729-2646
DOI - 10.21683/1729-2646-2020-20-2-43-53
Subject(s) - hazardous waste , track (disk drive) , ranking (information retrieval) , identification (biology) , computer science , event (particle physics) , data mining , artificial intelligence , engineering , botany , physics , quantum mechanics , biology , waste management , operating system