Enhancing Deep Networks through Customized Iterative Hierarchical Data Augmentation: A Study utilizing the Sussex-Huawei-Locomotion Dataset

Artificial Neural Networks (ANNs) have emerged as a powerful tool for classification tasks due to their ability to outperform traditional methods. Nevertheless, their effectiveness relies heavily on the availability of large, varied, and labeled datasets, which are often not available. To counter this constraint, data augmentation techniques...