APA (7th ed.) Citation

Avian, C., Mahali, M. I., Putro, N. A. S., Prakosa, S. W., & Leu, J. (2022). Fx-Net and PureNet: Convolutional Neural Network architecture for discrimination of Chronic Obstructive Pulmonary Disease from smokers and healthy subjects through electronic nose signals. Computers in biology and medicine, 148, 105913. https://doi.org/10.1016/j.compbiomed.2022.105913

Chicago Style (17th ed.) Citation

Avian, Cries, Muhammad Izzuddin Mahali, Nur Achmad Sulistyo Putro, Setya Widyawan Prakosa, and Jenq-Shiou Leu. "Fx-Net and PureNet: Convolutional Neural Network Architecture for Discrimination of Chronic Obstructive Pulmonary Disease from Smokers and Healthy Subjects Through Electronic Nose Signals." Computers in Biology and Medicine 148 (2022): 105913. https://doi.org/10.1016/j.compbiomed.2022.105913.

MLA (9th ed.) Citation

Avian, Cries, et al. "Fx-Net and PureNet: Convolutional Neural Network Architecture for Discrimination of Chronic Obstructive Pulmonary Disease from Smokers and Healthy Subjects Through Electronic Nose Signals." Computers in Biology and Medicine, vol. 148, 2022, p. 105913, https://doi.org/10.1016/j.compbiomed.2022.105913.