Asad, A.; Sarwar, M.; Aslam, M.; Akpokodje, E.; Jilani, S.F.
MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction. Appl. Sci. 2025, 15, 6152.
https://doi.org/10.3390/app15116152
AMA Style
Asad A, Sarwar M, Aslam M, Akpokodje E, Jilani SF.
MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction. Applied Sciences. 2025; 15(11):6152.
https://doi.org/10.3390/app15116152
Chicago/Turabian Style
Asad, Amna, Madiha Sarwar, Muhammad Aslam, Edore Akpokodje, and Syeda Fizzah Jilani.
2025. "MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction" Applied Sciences 15, no. 11: 6152.
https://doi.org/10.3390/app15116152
APA Style
Asad, A., Sarwar, M., Aslam, M., Akpokodje, E., & Jilani, S. F.
(2025). MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction. Applied Sciences, 15(11), 6152.
https://doi.org/10.3390/app15116152
