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Dealing with disruptions in railway track inspection using risk-based machine learning
Unplanned track inspections can be a direct consequence of any disruption to the operation of on-board track geometry monitoring activities. A novel response strategy to enhance the value of the information for supplementary track measurements is thus established to construct a data generation model...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905508/ https://www.ncbi.nlm.nih.gov/pubmed/36750640 http://dx.doi.org/10.1038/s41598-023-28866-9 |