APA (7th ed.) Citation

Fauzi, H., Aurellia, S., & Alia, F. (2026). A Multi-Representation Hybrid CNN Feature Extraction Framework for Cervical Pre-Cancer Image Classification. International Journal of Online & Biomedical Engineering, 22(5), 185. https://doi.org/10.3991/ijoe.v22i05.59729

Chicago Style (17th ed.) Citation

Fauzi, Hilman, Salsabila Aurellia, and Fenty Alia. "A Multi-Representation Hybrid CNN Feature Extraction Framework for Cervical Pre-Cancer Image Classification." International Journal of Online & Biomedical Engineering 22, no. 5 (2026): 185. https://doi.org/10.3991/ijoe.v22i05.59729.

MLA (9th ed.) Citation

Fauzi, Hilman, et al. "A Multi-Representation Hybrid CNN Feature Extraction Framework for Cervical Pre-Cancer Image Classification." International Journal of Online & Biomedical Engineering, vol. 22, no. 5, 2026, p. 185, https://doi.org/10.3991/ijoe.v22i05.59729.