Muhammad Hussain, N.; Rehman, A.U.; Othman, M.T.B.; Zafar, J.; Zafar, H.; Hamam, H.
Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data. Sensors 2022, 22, 5103.
https://doi.org/10.3390/s22145103
AMA Style
Muhammad Hussain N, Rehman AU, Othman MTB, Zafar J, Zafar H, Hamam H.
Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data. Sensors. 2022; 22(14):5103.
https://doi.org/10.3390/s22145103
Chicago/Turabian Style
Muhammad Hussain, Nadia, Ateeq Ur Rehman, Mohamed Tahar Ben Othman, Junaid Zafar, Haroon Zafar, and Habib Hamam.
2022. "Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data" Sensors 22, no. 14: 5103.
https://doi.org/10.3390/s22145103
APA Style
Muhammad Hussain, N., Rehman, A. U., Othman, M. T. B., Zafar, J., Zafar, H., & Hamam, H.
(2022). Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data. Sensors, 22(14), 5103.
https://doi.org/10.3390/s22145103