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...

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Bibliographic Details

Main Authors:	Elsheikh, Elfatih A. A., Eltahir, E. I., Tasdelen, Abdulkadir, Hamdan, Mosab, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Hassan Abdalla Hashim, Aisha
Format:	Article
Language:	en en
Published:	2025
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/118676/1/2025%20IEEE%20Access%20-Dust_Storm_Attenuation_Prediction_Using_a_Hybrid_Machine_Learning_Model_Based_on_Measurements_in_Sudan.pdf http://irep.iium.edu.my/118676/7/118676_Dust%20Storm%20Attenuation%20Prediction_SCOPUS.pdf http://irep.iium.edu.my/118676/ http://doi.org/10.1109/ACCESS.2025.3530261
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