APA (7th ed.) Citation

Alzubi, A., Lin, D., Reimann, J., & Alsaleem, F. (2025). G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications. Applied Sciences (2076-3417), 15(13), 7508. https://doi.org/10.3390/app15137508

Chicago Style (17th ed.) Citation

Alzubi, Abdallah, David Lin, Johan Reimann, and Fadi Alsaleem. "G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications." Applied Sciences (2076-3417) 15, no. 13 (2025): 7508. https://doi.org/10.3390/app15137508.

MLA (9th ed.) Citation

Alzubi, Abdallah, et al. "G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications." Applied Sciences (2076-3417), vol. 15, no. 13, 2025, p. 7508, https://doi.org/10.3390/app15137508.