id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1162	Lamiaa Abdul-jabbar Dawod	Forecasting Short-Term Wind Speed using ARIMA, and Convolution Neural Network Models at International Airports in Saudi Arabia	2024	16	.pdf	application/pdf	5507	306	53	In Fig. 8, it is seen that the relative errors for ANN models are situated within the range of -3 to 3, whereas for CNN models they lie between - 0.7 and 0.7 and ARIMA models are situated within the range of -20 to 20. The findings from Table 3 reveal that within the realm of ANN models, the performance of ANN- M3 for King Khalid, ANN-M5 for King Fahd, and ANN-M3 for King Abdulaziz model proved to be good accurate during the testing phase.	cache/cana-1162.pdf	txt/cana-1162.txt