Computer Science Department Researchers Have Published New Data on Network Technology (Satellite to Ground Station, Attenuation Prediction for 2.4-72 GHz Using LTSM, an Artificial Recurrent Neural Network Technology)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on network technology is the subject of a new report. According to news reporting out of Ashkelon, Israel, by NewsRx editors, research stated, “Satellite communication links suffer from arbitrary weather phenomena such as clouds, rain, snow, fog, and dust.” Our news correspondents obtained a quote from the research from Computer Science Department: “Furthermore, when signals approach the ground station, they have to overcome buildings blocking the direct access to the ground station. This work proposes a model to predict the remaining signal strength for the next timeframe after deducting the attenuation and disruption impact caused during its propagation from the satellite to the ground station. The proposed model can be adjusted to comply with any geographic region and a broad spectrum of frequencies. We employ LTSM, an artificial recurrent neural network technology, providing a time-dependent prediction.”