APA-Zitierstil (7. Ausg.)

Roy, M., Majumder, S., Halder, A., & Biswas, U. (2023). ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG. Engineering applications of artificial intelligence, 124, 106484. https://doi.org/10.1016/j.engappai.2023.106484

Chicago-Zitierstil (17. Ausg.)

Roy, Moumita, Sukanta Majumder, Anindya Halder, und Utpal Biswas. "ECG-NET: A Deep LSTM Autoencoder for Detecting Anomalous ECG." Engineering Applications of Artificial Intelligence 124 (2023): 106484. https://doi.org/10.1016/j.engappai.2023.106484.

MLA-Zitierstil (9. Ausg.)

Roy, Moumita, et al. "ECG-NET: A Deep LSTM Autoencoder for Detecting Anomalous ECG." Engineering Applications of Artificial Intelligence, vol. 124, 2023, p. 106484, https://doi.org/10.1016/j.engappai.2023.106484.