APA (7th ed.) Citation

Aashiq, M., Hashim, S. J., Rokhani, F. Z., Hanafi, M., & Hussein, A. F. TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features. IEEE.

Chicago Style (17th ed.) Citation

Aashiq, Mohamed, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Marsyita Hanafi, and Ahmed Faeq Hussein. TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features. IEEE.

MLA (9th ed.) Citation

Aashiq, Mohamed, et al. TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features. IEEE.

Warning: These citations may not always be 100% accurate.