Sameer, F. O. (2022). Comparison study on the performance of the multi classifiers with hybrid optimal features selection method for medical data diagnosis. Multimedia Tools and Applications: An International Journal, 1-18. https://doi.org/10.1007/s11042-022-12434-w
ISO-690 (author-date, English)SAMEER, Fadhaa O., 2022. Comparison study on the performance of the multi classifiers with hybrid optimal features selection method for medical data diagnosis. Multimedia Tools and Applications: An International Journal. 8 März 2022. P. 1-18. DOI 10.1007/s11042-022-12434-w.
Modern Language Association 9th editionSameer, F. O. „Comparison Study on the Performance of the Multi Classifiers With Hybrid Optimal Features Selection Method for Medical Data Diagnosis“. Multimedia Tools and Applications: An International Journal, März 2022, S. 1-18, https://doi.org/10.1007/s11042-022-12434-w.
Mohr Siebeck - Recht (Deutsch - Österreich)Sameer, Fadhaa O.: Comparison study on the performance of the multi classifiers with hybrid optimal features selection method for medical data diagnosis, Multimedia Tools and Applications: An International Journal 2022, 1-18.
Emerald - HarvardSameer, F.O. (2022), „Comparison study on the performance of the multi classifiers with hybrid optimal features selection method for medical data diagnosis“, Multimedia Tools and Applications: An International Journal, S. 1-18.