Codice QR

Dust Storm Attenuation Prediction Using a Hybrid Machine Learning Model Based on Measurements in Sudan

Sand and dust storms significantly challenge microwave and millimeter-wave communications, particularly in arid and semi-arid regions. Various models have been developed to predict attenuation caused by these storms theoretically and empirically based on two meteorological parameters, namely visibil...

Descrizione completa

Salvato in:
Autori principali: Elfatih A. A. Elsheikh, E. I. Eltahir, Abdulkadir Tasdelen, Mosab Hamdan, Md Rafiqul Islam, Mohamed Hadi Habaebi, Aisha H. Abdullah Hashim
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2025-01-01
Serie:IEEE Access
Soggetti:
Dust storm attenuation
microwave propagation
meteorological parameters
terrestrial communication
machine learning
XGBoost
Accesso online:https://ieeexplore.ieee.org/document/10843207/
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi