Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection
(AD). In crowded scenes, the presence of inter-object occlusions often complicates the …

In the smart grid paradigm, precise electrical load forecasting (ELF) offers significant
advantages for enhancing grid reliability and informing energy planning decisions …

To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we
propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) …

The safety monitoring information of the dam is an indicator reflecting the operational status
of the dam. It is a crucial source for analyzing and assessing the safety state of reservoir …

Forecasting ionospheric total electron content (TEC) has been of great interest among
ionospheric researchers and radio propagation scientists as it critically affects the operation …

The transmission of high-frequency signals over long distances depends on the
ionosphere's reflective properties, with the selection of operating frequencies being closely …

With the continuous advancement of deep learning algorithms and the rapid growth of
computational resources, deep learning technology has undergone numerous milestone …

The low-latitude ionosphere has an active behavior causing the total electron content (TEC)
to vary spatially and temporally very dynamically. The solar activity and the geomagnetic …

Ionospheric delay has a severe effect on reducing the accuracy of positioning and
navigation of single-frequency receivers. Therefore, it is necessary to construct a precise …

Prediction of Total Electron Content (TEC) in the ionosphere is vital to improve the accuracy
of satellite positioning, navigation and remote sensing systems. Most existing TEC prediction …