To address these challenges, this study develops a hybrid deep learning model that captures both local temporal dependencies and global contextual features. As illustrated in Figure 1, we propose a ...

As a popular machine learning algorithm, deep learning can be applied to a wide range of fields. In this paper, the LSTM model in deep learning, its extended Bi-LSTM model, the Transformer model for ...

The objectives of this study were to improve aquatic rehabilitation through the utilization of LSTM model based activity classification by (1) identifying distinct combination of time and frequency ...