Sorour, S. S., Saleh, C. A., & Shazly, M. (2025). Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-02390-4
ISO-690 (author-date, English)SOROUR, Sherif Samy, SALEH, Chahinaz Abdelrahman und SHAZLY, Mostafa, 2025. Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-02390-4.
Modern Language Association 9th editionSorour, S. S., C. A. Saleh, und M. Shazly. „Integrating Machine Learning and Symbolic Regression for Predicting Damage Initiation in Hybrid FRP Bolted Connections“. Scientific Reports, Bd. 15, Nr. 1, Dezember 2025, https://doi.org/10.1038/s41598-025-02390-4.
Mohr Siebeck - Recht (Deutsch - Österreich)Sorour, Sherif Samy/Saleh, Chahinaz Abdelrahman/Shazly, Mostafa: Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections, Scientific Reports 2025,
Emerald - HarvardSorour, S.S., Saleh, C.A. und Shazly, M. (2025), „Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-02390-4.