Abstract: In time-series data analysis, identifying anomalies is crucial for maintaining data integrity and ensuring accurate analyses and decision-making. Anomalies can compromise data quality and ...

Abstract: The purpose of this research is to use data analysis using TinyML to build and implement a real-time rail vehicle running state monitoring system. In terms of data collection, processing ...