APA (7th ed.) Citation

He, Z., Chen, Y., Yuan, S., Zhao, J., Yuan, Z., Polat, K., . . . Hamid, A. (2023). A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification. Expert systems with applications, 221, 119711. https://doi.org/10.1016/j.eswa.2023.119711

Chicago Style (17th ed.) Citation

He, Ziyang, Yufei Chen, Shuaiying Yuan, Jianhui Zhao, Zhiyong Yuan, Kemal Polat, Adi Alhudhaif, Fayadh Alenezi, and Arwa Hamid. "A Novel Unsupervised Domain Adaptation Framework Based on Graph Convolutional Network and Multi-level Feature Alignment for Inter-subject ECG Classification." Expert Systems with Applications 221 (2023): 119711. https://doi.org/10.1016/j.eswa.2023.119711.

MLA (9th ed.) Citation

He, Ziyang, et al. "A Novel Unsupervised Domain Adaptation Framework Based on Graph Convolutional Network and Multi-level Feature Alignment for Inter-subject ECG Classification." Expert Systems with Applications, vol. 221, 2023, p. 119711, https://doi.org/10.1016/j.eswa.2023.119711.