Abstract: The use of synthetic data has become an increasingly relevant approach in machine learning, especially in situations involving limited, imbalanced, or sensitive datasets. This study presents ...

Abstract: Water quality monitoring encounters a significant challenge when dealing with imbalanced datasets where contamination events are rare but critical. In our study utilizing a dataset of 7,999 ...