Mhamdi, L., Dammak, O., Cottin, F., & Ben Dhaou, I. (2023). Deep learning for COVID ‐19 contamination analysis and prediction using ECG images on Raspberry Pi 4. International journal of imaging systems and technology, 33(6), 1858-1869. https://doi.org/10.1002/ima.22965
Chicago Style (17th ed.) CitationMhamdi, Lotfi, Oussama Dammak, François Cottin, and Imed Ben Dhaou. "Deep Learning for COVID ‐19 Contamination Analysis and Prediction Using ECG Images on Raspberry Pi 4." International Journal of Imaging Systems and Technology 33, no. 6 (2023): 1858-1869. https://doi.org/10.1002/ima.22965.
MLA (9th ed.) CitationMhamdi, Lotfi, et al. "Deep Learning for COVID ‐19 Contamination Analysis and Prediction Using ECG Images on Raspberry Pi 4." International Journal of Imaging Systems and Technology, vol. 33, no. 6, 2023, pp. 1858-1869, https://doi.org/10.1002/ima.22965.