American Psychological Association 6th edition

Rashad, M., Alebiary, D., Aldawsari, M., Elsawy, A., & H. Abu El-Atta, A. (2024). FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks. Peer J Computer Science, 1-19. https://doi.org/10.7717/peerj-cs.2272

ISO-690 (author-date, English)

RASHAD, Metwally, ALEBIARY, Doaa, ALDAWSARI, Mohammed, ELSAWY, Ahmed and H. ABUEL-ATTA, Ahmed, 2024. FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks. Peer J Computer Science. 1 October 2024. P. 1-19. DOI 10.7717/peerj-cs.2272.

Modern Language Association 9th edition

Rashad, M., D. Alebiary, M. Aldawsari, A. Elsawy, and A. H. Abu El-Atta. “FERDCNN: An Efficient Method for Facial Expression Recognition through Deep Convolutional Neural Networks.”. Peer J Computer Science, Oct. 2024, pp. 1-19, https://doi.org/10.7717/peerj-cs.2272.

Mohr Siebeck - Recht (Deutsch - Österreich)

Rashad, Metwally/Alebiary, Doaa/Aldawsari, Mohammed/Elsawy, Ahmed/H. Abu El-Atta, Ahmed: FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks., Peer J Computer Science 2024, 1-19.

Emerald - Harvard

Rashad, M., Alebiary, D., Aldawsari, M., Elsawy, A. and H. Abu El-Atta, A. (2024), “FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks.”, Peer J Computer Science, pp. 1-19.

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