Tabane, E., Mnkandla, E., & Wang, Z. (2026). Ensemble Deep Learning Models for Multi-Class DNA Sequence Classification: A Comparative Study of CNN, BiLSTM, and GRU Architectures. Applied Sciences (2076-3417), 16(3), 1545. https://doi.org/10.3390/app16031545
Chicago Style (17th ed.) CitationTabane, Elias, Ernest Mnkandla, and Zenghui Wang. "Ensemble Deep Learning Models for Multi-Class DNA Sequence Classification: A Comparative Study of CNN, BiLSTM, and GRU Architectures." Applied Sciences (2076-3417) 16, no. 3 (2026): 1545. https://doi.org/10.3390/app16031545.
MLA (9th ed.) CitationTabane, Elias, et al. "Ensemble Deep Learning Models for Multi-Class DNA Sequence Classification: A Comparative Study of CNN, BiLSTM, and GRU Architectures." Applied Sciences (2076-3417), vol. 16, no. 3, 2026, p. 1545, https://doi.org/10.3390/app16031545.