44 citations as recorded by crossref.

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18. A predictive model of velocity for local hydrokinetic power assessment based on remote sensing data A. MacMillan et al. 10.1016/j.renene.2023.04.146
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20. A random forest approach to improve estimates of tributary nutrient loading P. Isles 10.1016/j.watres.2023.120876
21. Enhancing monthly streamflow forecasting for Brazilian hydropower plants through climate index integration with stochastic methods T. Lappicy & C. Lima 10.1590/2318-0331.282320230118
22. Assessing the influencing factors of soil susceptibility to wind erosion: A wind tunnel experiment with a machine learning and model-agnostic interpretation approach Y. Zhao et al. 10.1016/j.catena.2022.106324
23. Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria) Z. Abda et al. 10.1080/02626667.2022.2083511
24. Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area O. Zandi et al. 10.1016/j.atmosres.2022.106159
25. Quantifying the Effect of River Ice Surface Roughness on Sentinel-1 SAR Backscatter R. Palomaki & E. Sproles 10.3390/rs14225644
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27. Role of Aerosols in Spring Blooms in the Central Yellow Sea During the COVID-19 Lockdown by China J. Baek et al. 10.3389/fmars.2022.911819
28. Appraisal of data-driven techniques for predicting short-term streamflow in tropical catchment K. Yeoh et al. 10.2166/wst.2023.193
29. Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems G. Kopsiaftis et al. 10.3389/frwa.2023.1195029
30. Multi-Variables-Driven Model Based on Random Forest and Gaussian Process Regression for Monthly Streamflow Forecasting N. Sun et al. 10.3390/w14111828
31. Microstructure and mechanical properties evaluation of automotive plate steel based on micromagnetic NDT technologies H. Sheng et al. 10.1016/j.measurement.2022.111459
32. Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools K. Antwi-Agyakwa et al. 10.3390/w15030427
33. Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials M. Ahmad et al. 10.1155/2022/9415863
34. A Novel and Non-Invasive Approach to Evaluating Soil Moisture without Soil Disturbances: Contactless Ultrasonic System D. Woo et al. 10.3390/s22197450
35. Conjunct application of machine learning and game theory in groundwater quality mapping A. Khiavi et al. 10.1007/s12665-023-11059-y
36. Stochastic Decadal Projections of Colorado River Streamflow and Reservoir Pool Elevations Conditioned on Temperature Projections D. Woodson et al. 10.1029/2021WR030936
37. Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis F. Ahmadi et al. 10.1007/s00477-021-02159-x
38. Glacier Mapping Based on Random Forest Algorithm: A Case Study over the Eastern Pamir Y. Lu et al. 10.3390/w12113231
39. Evaluating different machine learning algorithms for snow water equivalent prediction M. Vafakhah et al. 10.1007/s12145-022-00846-z
40. A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression J. Ma et al. 10.1007/s00477-022-02183-5
41. Statistical analysis and prediction of spatial resilient modulus of coarse-grained soils for pavement subbase and base layers using MLR, ANN and Ensemble techniques C. Ikeagwuani & D. Nwonu 10.1007/s41062-022-00875-z
42. A Hybrid Model to Predict Monthly Streamflow Using Neighboring Rivers Annual Flows A. Al-Juboori 10.1007/s11269-020-02757-4
43. Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble D. Althoff et al. 10.1007/s00477-021-01980-8
44. Prediction of CSG splitting tensile strength based on XGBoost-RF model L. Guo et al. 10.1016/j.mtcomm.2023.105350