A study on prototypical networks for DAS acoustic event classification in railway trackside safety monitoring
To achieve intelligent perception of environmental risks in railway transportation safety, we investigate acoustic event classification models using a real-world distributed acoustic sensing (DAS) sound dataset. This dataset contains five representative vibration categories: background noise, hammering, rockfall, pryin...