Nour, M., Senturk, U., & Polat, K. (2024). A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach. Biomedical signal processing and control, 89, 105751. https://doi.org/10.1016/j.bspc.2023.105751
Chicago Style (17th ed.) CitationNour, Majid, Umit Senturk, and Kemal Polat. "A Novel Hybrid Model in the Diagnosis and Classification of Alzheimer's Disease Using EEG Signals: Deep Ensemble Learning (DEL) Approach." Biomedical Signal Processing and Control 89 (2024): 105751. https://doi.org/10.1016/j.bspc.2023.105751.
MLA (9th ed.) CitationNour, Majid, et al. "A Novel Hybrid Model in the Diagnosis and Classification of Alzheimer's Disease Using EEG Signals: Deep Ensemble Learning (DEL) Approach." Biomedical Signal Processing and Control, vol. 89, 2024, p. 105751, https://doi.org/10.1016/j.bspc.2023.105751.