Premanand, A., Sharma, G. und Balle, F. (2025) A straightforward machine learning-based giga-cycle fatigue life regression approach for polymer matrix composites [cd]. Freiburg: Universität. doi:10.1016/j.rineng.2025.108037.
Chicago Manual of Style 17th edition (full note)Premanand, Aravind, Gaurav Sharma, und Frank Balle. A straightforward machine learning-based giga-cycle fatigue life regression approach for polymer matrix composites. Cd. Freiburg: Universität, [2025?], Freiburg: Universität, [2025?]. https://doi.org/10.1016/j.rineng.2025.108037.
American Psychological Association 7th editionPremanand, A., Sharma, G., & Balle, F. (ca. 2025). A straightforward machine learning-based giga-cycle fatigue life regression approach for polymer matrix composites [Cd]. Universität. https://doi.org/10.1016/j.rineng.2025.108037
Modern Language Association 9th editionPremanand, A., G. Sharma, und F. Balle. A straightforward machine learning-based giga-cycle fatigue life regression approach for polymer matrix composites. cd, Universität, 2025, https://doi.org/10.1016/j.rineng.2025.108037.
ISO-690 (author-date, Deutsch)PREMANAND, Aravind, Gaurav SHARMA und Frank BALLE, 2025. A straightforward machine learning-based giga-cycle fatigue life regression approach for polymer matrix composites. Freiburg: Universität