id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3109	Lawal, Yusuf Babatunde ; Owolawi, Pius Adewale ; Tu, Chunling ; Wyk, Etienne Van ; Ojo, Joseph Sunday 	Machine learning-based models for forecasting radio refractivity over the coastal area of South Africa	2025	9	.pdf	application/pdf	4487	243	54	Although, the research recommended a new model for surface refractivity prediction, spatial variation of atmospheric parameters makes the model unfit for the mediterranean climate in South Africa. Abstract: Surface refractivity is a crucial parameter that determines the bending of radio signals as they propagate within the troposphere.	cache/easat-3109.pdf	txt/easat-3109.txt