Sivapalan, G., Nundy, K. K., James, A., Cardiff, B., & John, D. (2023). Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors. IEEE internet of things journal, 10(15), 1. https://doi.org/10.1109/JIOT.2023.3260722
Chicago Style (17th ed.) CitationSivapalan, Gawsalyan, Koushik Kumar Nundy, Alex James, Barry Cardiff, and Deepu John. "Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors." IEEE Internet of Things Journal 10, no. 15 (2023): 1. https://doi.org/10.1109/JIOT.2023.3260722.
MLA (9th ed.) CitationSivapalan, Gawsalyan, et al. "Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors." IEEE Internet of Things Journal, vol. 10, no. 15, 2023, p. 1, https://doi.org/10.1109/JIOT.2023.3260722.