Author:
Shihadeh Jumana,Al-Shaibie Ghyda,Bisharah Majdi,Alshami Dania,Alkhadrawi Sajeda,Al-Bdour Hamza
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Reference32 articles.
1. Akinosho, T. D., Oyedele, L. O., Bilal, M., Ajayi, A. O., Delgado, M. D., Akinade, O. O., & Ahmed, A. A. (2020). Deep learning in the construction industry: A review of present status and future innovations. Journal of Building Engineering, 32, 101827.
2. Ali, K., Amir, E., & Mahdi, M. (2023). Buckling resistance prediction of high-strength steel columns using metaheuristic-trained artificial neural networks. Structures, 56(C), 104853.
3. Arabiat, A., Al-Bdour, H., & Bisharah, M. (2023). Predicting the construction projects time and cost overruns using K-nearest neighbor and Artificial Neural Network: A case study from Jordan. Asian Journal of Civil Engineering, 24(7), 2405–2414. https://doi.org/10.1007/s42107-023-00649-7
4. Ashtari, M. A., Ansari, R., Hassannayebi, E., & Jeong, J. (2022). Cost Overrun Risk assessment and prediction in construction projects: A Bayesian network classifier approach. Buildings, 12(10), 1660.
5. Bin Seddeeq, A., Assaf, S., Abdallah, A., & Hassanain, M. A. (2019). Time and cost overrun in the Saudi Arabian oil and gas construction industry. Buildings, 9(2), 41.