FTSS: Self-supervised Deep Learning Framework for Anomaly Detection in Traffic Data

  Self-supervised Deep Learning Framework for Anomaly Detection in Traffic Data View recorded webinar on Youtube The current state of the practice in traffic data quality control (QC) features rule-based data checking and validation processes, where the rules are subjective and insensitive to variation inherited with traffic data. To improve the traffic data QC process,…