Jahan, R., & Alam, S. (2023). Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †. Engineering Proceedings, 56, 232-240. https://doi.org/10.3390/ASEC2023-15924
ISO-690 (author-date, English)JAHAN, Rashke und ALAM, Shahzad, 2023. Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †. Engineering Proceedings. 10 Dezember 2023. Vol. 56, , p. 232-240. DOI 10.3390/ASEC2023-15924.
Modern Language Association 9th editionJahan, R., und S. Alam. „Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †.“. Engineering Proceedings, Bd. 56, Dezember 2023, S. 232-40, https://doi.org/10.3390/ASEC2023-15924.
Mohr Siebeck - Recht (Deutsch - Österreich)Jahan, Rashke/Alam, Shahzad: Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †., Engineering Proceedings 2023, 232-240.
Emerald - HarvardJahan, R. und Alam, S. (2023), „Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †.“, Engineering Proceedings, Vol. 56, S. 232-240.