APA (7th ed.) Citation

Kumru, E., Ugurlu, G., Sevindik, M., Ekinci, F., Güzel, M. S., Acici, K., & Akata, I. (2025). Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures. MDPI AG.

Chicago Style (17th ed.) Citation

Kumru, Eda, Güney Ugurlu, Mustafa Sevindik, Fatih Ekinci, Mehmet Serdar Güzel, Koray Acici, and Ilgaz Akata. Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures. MDPI AG, 2025.

MLA (9th ed.) Citation

Kumru, Eda, et al. Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures. MDPI AG, 2025.

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