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The present study collected a wide range of experimental data samples, including 855 records from various types of cylindrical weirs under diverse hydraulic conditions, setting the stage for an in-depth analysis for modeling of discharge coefficient. For this purpose, the prediction capability of four kernel-based methods (SVM, GPR, KELM, and KRR) and four neural network-based methods (FFBP, CFBP,
