In this article, a novel distributed finite memory online learning (DFMOL) strategy is proposed for accurately identifying the dynamic models of multiple unmanned aerial vehicles (UAVs). The proposed ...

Time series anomaly detection is the process of identifying anomalies within time series data. The primary challenge of this task lies in the necessity for the model to comprehend the characteristics ...

This paper examines the comparative life cycle assessment (LCA) of manufacturing novel fly ash blocks and sand blocks utilizing aerated autoclaved technology within a cradle-to-gate framework, ...