Abstract: In recent years, Artificial Neural Networks (ANNs) have been introduced in Structural Health Monitoring (SHM) systems. A semi-supervised method with a data-driven approach allows the ANN ...

Abstract: Class imbalance is a problem faced in machine learning and data science, which means classes are unevenly distributed across datasets. Machine learning algorithms assume that the datasets ...