American Psychological Association 6th edition

Sayed, G. I., Hassanien, A. E., & Basha, S. H. (2024). Neutrosophic set and optimized deep learning for classification of chicken Eimeria species: a practical solution for poultry industry. Environment, Development & Sustainability, 1-1. https://doi.org/10.1007/s10668-024-05478-5

ISO-690 (author-date, English)

SAYED, Gehad Ismail, HASSANIEN, Aboul Ella und BASHA, Sameh H., 2024. Neutrosophic set and optimized deep learning for classification of chicken Eimeria species: a practical solution for poultry industry. Environment, Development & Sustainability. 22 Oktober 2024. P. 1-1. DOI 10.1007/s10668-024-05478-5.

Modern Language Association 9th edition

Sayed, G. I., A. E. Hassanien, und S. H. Basha. „Neutrosophic Set and Optimized Deep Learning for Classification of Chicken Eimeria Species: A Practical Solution for Poultry Industry.“. Environment, Development & Sustainability, Oktober 2024, S. 1-1, https://doi.org/10.1007/s10668-024-05478-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sayed, Gehad Ismail/Hassanien, Aboul Ella/Basha, Sameh H.: Neutrosophic set and optimized deep learning for classification of chicken Eimeria species: a practical solution for poultry industry., Environment, Development & Sustainability 2024, 1-1.

Emerald - Harvard

Sayed, G.I., Hassanien, A.E. und Basha, S.H. (2024), „Neutrosophic set and optimized deep learning for classification of chicken Eimeria species: a practical solution for poultry industry.“, Environment, Development & Sustainability, S. 1-1.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.