The researchers conducted experiments on a rectangular weir with three rectangular bottom openings to study its hydraulic characteristics. They looked at cases with equal and unequal opening sizes. By analyzing the data, they found that the discharge coefficient was highest when water flowed through both openings and over the weir. The correlation between the discharge coefficient and the ratio of opening width to total head was strongest. Artificial neural networks were used to model the relationship between the discharge coefficient and various geometric and flow variables. The study showed that the discharge coefficient varied between different flow cases and opening sizes, highlighting the need for a model to describe this variation.