Structural Health Monitoring (SHM) is an increasingly important field due to the rising number and complexity of structures such as bridges, buildings, and viaducts. The need to improve user safety and ensure the optimal functionality of the structures has motivated the improvement of SHM systems from sporadic human evaluations to continuous monitoring through various types of sensors capable of streaming high-frequency data The increasing amount of SHM data has encouraged the development of algorithms and methodologies that support structural monitoring and decision-making processes in order to extend the structure's lifespan, reduce maintenance costs, and ensure the user’s safety. Anomaly detection and Traffic Load Estimation (TLE) are two key activities in the field of SHM.