15 citations as recorded by crossref.

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4. Enabling Virtual Met Masts for wind energy applications through machine learning-methods S. Schwegmann et al. 10.1016/j.egyai.2022.100209
5. Towards Sustainable Urban Mobility: Leveraging Machine Learning Methods for QA of Meteorological Measurements in the Urban Area D. Sládek et al. 10.3390/su16135713
6. A review of physics-based machine learning in civil engineering S. Vadyala et al. 10.1016/j.rineng.2021.100316
7. Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil E. Gomaa et al. 10.1016/j.heliyon.2023.e18819
8. Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis Y. Zhu 10.1007/s11356-022-22957-2
9. Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques G. de Arruda Moreira et al. 10.1016/j.atmosres.2021.105962
10. Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction Z. Li et al. 10.1016/j.ress.2022.109078
11. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. 10.5194/amt-14-4403-2021
12. Improving Surface Wind Speed Forecasts Using an Offline Surface Multilayer Model With Optimal Ground Forcing J. Feng et al. 10.1029/2022MS003072
13. A Comprehensive Degradation Modeling Comparison From Statistical to Artificial Intelligence Models for Curing Oven Chains H. Misaii et al. 10.1002/asmb.2930
14. Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting D. Vassallo et al. 10.3390/en13205488
15. Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020