Cite
Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins.
MLA
Rahmani, Farshid, et al. “Deep Learning Approaches for Improving Prediction of Daily Stream Temperature in Data‐scarce, Unmonitored, and Dammed Basins.” Hydrological Processes, vol. 35, no. 11, Nov. 2021, pp. 1–18. EBSCOhost, https://doi.org/10.1002/hyp.14400.
APA
Rahmani, F., Shen, C., Oliver, S., Lawson, K., & Appling, A. (2021). Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins. Hydrological Processes, 35(11), 1–18. https://doi.org/10.1002/hyp.14400
Chicago
Rahmani, Farshid, Chaopeng Shen, Samantha Oliver, Kathryn Lawson, and Alison Appling. 2021. “Deep Learning Approaches for Improving Prediction of Daily Stream Temperature in Data‐scarce, Unmonitored, and Dammed Basins.” Hydrological Processes 35 (11): 1–18. doi:10.1002/hyp.14400.