Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with ...