Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Reference40 articles.
1. Attar NF, Pham QB, Nowbandegani SF et al (2020) Enhancing the prediction accuracy of data-driven models for monthly streamflow in Urmia lake basin based upon the autoregressive conditionally heteroskedastic time-series model. Appl Sci 10:571. https://doi.org/10.3390/app10020571
2. Bliss N, Bindewald E, Shapiro BA (2020) Predicting RNA SHAPE scores with deep learning. RNA Biol 17:1324–1330. https://doi.org/10.1080/15476286.2020.1760534
3. Bonafilia D, Tellman B, Anderson T, Issenberg E (2020) Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1. In: IEEE/CVF conference on computer vision and pattern recognition workshops 2020:835–845. https://doi.org/10.1109/CVPRW50498.2020.00113
4. Botchkarev A (2018) Performance metrics (error measures) in machine learning regression, forecasting and prognostics: properties and typology. 1–37
5. Choudhari K, Panigrahi B, Paul JC (2014) Simulation of rainfall-runoff process using HEC-HMS model for Balijore. Int J Geom Geosci 5:253–265
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