APA (7th ed.) Citation

Alam, M. U., & Rahmani, R. (2023). FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices. Sensors (14248220), 23(2), 970. https://doi.org/10.3390/s23020970

Chicago Style (17th ed.) Citation

Alam, Mahbub Ul, and Rahim Rahmani. "FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices." Sensors (14248220) 23, no. 2 (2023): 970. https://doi.org/10.3390/s23020970.

MLA (9th ed.) Citation

Alam, Mahbub Ul, and Rahim Rahmani. "FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices." Sensors (14248220), vol. 23, no. 2, 2023, p. 970, https://doi.org/10.3390/s23020970.