id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajceb-9253	Al-Attar, Heba; Sweis, Ghaleb; Tarawneh, Bashar; Abu-Khader, Waleed; Haddad, Leen; Sweis, Rateb	Enhanced Construction Project Duration Estimation Using Artificial Neural Networks: Initial Design and Planning Stages	2025	24	.pdf	application/pdf	11078	569	42	The limited availability of historical data on construction project durations and design parameters in Jordan is also a shortcoming. Recent research has demonstrated that ANNs often surpass traditional regression models in predicting project durations in construction (Balali, et al., 2020; Titirla and Aretoulis, 2020; Fan, et al., 2021; Ujong, et al., 2022; AlTalhoni, et al., 2025).	cache/ajceb-9253.pdf	txt/ajceb-9253.txt