Si, J., Han, L., Zhang, L., & Li, C. (2026). Hybrid Convolution Reparameterization for Efficient Deep Learning-Based Nonprecipitation Echo Recognition and Removal. IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst., 37(9), 4875. https://doi.org/10.1109/TNNLS.2026.3675666
Παραπομπή σε μορφή Chicago (17η εκδ.)Si, J., L. Han, L. Zhang, και C. Li. "Hybrid Convolution Reparameterization for Efficient Deep Learning-Based Nonprecipitation Echo Recognition and Removal." IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst. 37, no. 9 (2026): 4875. https://doi.org/10.1109/TNNLS.2026.3675666.
Παραπομπή σε μορφή MLA (9th εκδ.)Si, J., et al. "Hybrid Convolution Reparameterization for Efficient Deep Learning-Based Nonprecipitation Echo Recognition and Removal." IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst., vol. 37, no. 9, 2026, p. 4875, https://doi.org/10.1109/TNNLS.2026.3675666.