Abdelmigid, H.M.; Baz, M.; AlZain, M.A.; Al-Amri, J.F.; Zaini, H.G.; Morsi, M.M.; Abualnaja, M.; Alhuthal, N.A.
A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose. Appl. Sci. 2023, 13, 3052.
https://doi.org/10.3390/app13053052
AMA Style
Abdelmigid HM, Baz M, AlZain MA, Al-Amri JF, Zaini HG, Morsi MM, Abualnaja M, Alhuthal NA.
A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose. Applied Sciences. 2023; 13(5):3052.
https://doi.org/10.3390/app13053052
Chicago/Turabian Style
Abdelmigid, Hala M., Mohammed Baz, Mohammed A. AlZain, Jehad F. Al-Amri, Hatim G. Zaini, Maissa M. Morsi, Matokah Abualnaja, and Nawal Abdallah Alhuthal.
2023. "A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose" Applied Sciences 13, no. 5: 3052.
https://doi.org/10.3390/app13053052
APA Style
Abdelmigid, H. M., Baz, M., AlZain, M. A., Al-Amri, J. F., Zaini, H. G., Morsi, M. M., Abualnaja, M., & Alhuthal, N. A.
(2023). A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose. Applied Sciences, 13(5), 3052.
https://doi.org/10.3390/app13053052