"Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication ..."

Mohammed Zubair M. Shamim et al. (2021)

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DOI: 10.1109/ACCESS.2021.3132700

access: open

type: Journal Article

metadata version: 2023-08-28

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Mohammed Zubair M. Shamim, Elfatih Abdelrahman Ahmed Elsheikh, Fakher Eldin Mohamed Suliman Salih, Md. Rafiqul Islam:
Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning. IEEE Access 9: 164632-164642 (2021)

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