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</html><description>ITEO ARCHIVE Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. All Uncategorized Uncategorized Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures March 12, 2024 Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper Vol. 26 No. 2 (2023): JITA &#x2013; APEIRON DOI: https://doi.org/10.7251/JIT2302061S Igor Shubinsky Alexey Ozerov ORCID: Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional&hellip; Read More</description><thumbnail_url>https://jita-au.com/wp-content/uploads/2024/03/cover_issue_949_en_US-225x300.jpg</thumbnail_url></oembed>
