no code implementations • 22 Mar 2023 • Atefeh H. Arani, Peng Hu, Yeying Zhu
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential elements in the space-air-ground integrated networks (SAGINs).
no code implementations • 10 Feb 2023 • Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu
Then these uncertainty levels and each predictive model suggested by GA are used to generate a new model, which is then used for forecasting the TS and AD.
no code implementations • 27 Nov 2022 • Atefeh H. Arani, Peng Hu, Yeying Zhu
However, due to UAVs' high dynamics and complexity, the real-world deployment of a SAGIN becomes a major barrier for realizing such SAGINs.
no code implementations • 27 Nov 2022 • Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu
In this paper, we present a tractable approximation for BNN based on the Monte Carlo (MC) dropout method for capturing the uncertainty in the satellite telemetry time series, without sacrificing accuracy.