94 citations as recorded by crossref.

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47. Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings A. Mohammed et al. https://doi.org/10.3390/su13158298
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51. Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation H. Nguyen et al. https://doi.org/10.2166/wcc.2023.573
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55. Enhancing Karst Spring Discharge Simulation Through a Hybrid XGBoost–BiLSTM Machine Learning Framework M. Eid et al. https://doi.org/10.3390/w18091038
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58. Input variable selection for data-driven models of Coriolis flowmeters for two-phase flow measurement L. Wang et al. https://doi.org/10.1088/1361-6501/aa57d6
59. New combined DT-CWT and HOG descriptor for static and dynamic hand gesture recognition S. Agab & F. Chelali https://doi.org/10.1007/s11042-023-14433-x
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67. Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment at the Southern Andes of Ecuador P. Muñoz et al. https://doi.org/10.3390/hydrology8040183
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