Oct 2026
Enhancing Daily Streamflow Prediction: A Hybrid Deep Learning Framework Integrating Temporal Convolutions, Kolmogorov–Arnold Networks, and Multihead Attention
The results indicated that the DTCN-KAN-MA model combined data-driven forecasting capabilities with improved predictive accuracy in the two studied basins, suggesting its potential utility for operational streamflow prediction in similar climatic settings.
Yaru Wu, Dong Wang, Qingwen Deng et al.
· Journal of hydrologic engine... · 0 citations