Bahiuddin, I., Imaduddin, F., Saharuddin, K. D., & Mazlan, S. A. (2025). Fine-tuned and explainable machine learning models for temperature-dependent rheological behavior prediction of magnetorheological materials. Neural Computing and Applications, 1-30. https://doi.org/10.1007/s00521-025-11169-7
ISO-690 (author-date, English)BAHIUDDIN, Irfan, IMADUDDIN, Fitrian, SAHARUDDIN, Kasma Diana und MAZLAN, Saiful Amri, 2025. Fine-tuned and explainable machine learning models for temperature-dependent rheological behavior prediction of magnetorheological materials. Neural Computing and Applications. 25 März 2025. P. 1-30. DOI 10.1007/s00521-025-11169-7.
Modern Language Association 9th editionBahiuddin, I., F. Imaduddin, K. D. Saharuddin, und S. A. Mazlan. „Fine-Tuned and Explainable Machine Learning Models for Temperature-Dependent Rheological Behavior Prediction of Magnetorheological Materials“. Neural Computing and Applications, März 2025, S. 1-30, https://doi.org/10.1007/s00521-025-11169-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Bahiuddin, Irfan/Imaduddin, Fitrian/Saharuddin, Kasma Diana/Mazlan, Saiful Amri: Fine-tuned and explainable machine learning models for temperature-dependent rheological behavior prediction of magnetorheological materials, Neural Computing and Applications 2025, 1-30.
Emerald - HarvardBahiuddin, I., Imaduddin, F., Saharuddin, K.D. und Mazlan, S.A. (2025), „Fine-tuned and explainable machine learning models for temperature-dependent rheological behavior prediction of magnetorheological materials“, Neural Computing and Applications, S. 1-30.