An Innovative Huffman Forest-Based Method to Detected Railroad Station Anomalies

Detecting railroad station anomalies is a critical task prior to segmentation and making optimization decisions for each cluster. Three types of anomalies (local clustered, axis paralleled, and surrounded by normal instances) caused by the specialty of railroad operations bring the existing methods...

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Detalles Bibliográficos
Autores principales: Wang, Yuan, Li, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143646/
https://www.ncbi.nlm.nih.gov/pubmed/35632324
http://dx.doi.org/10.3390/s22103915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143646/
https://www.ncbi.nlm.nih.gov/pubmed/35632324
http://dx.doi.org/10.3390/s22103915

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