This study presents an advanced encoder-decoder dual attention convolutional long short-term memory (ConvLSTM) model designed to predict sea surface temperatures (SSTs) along the Moroccan coastline, a ...

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In this paper, we have proposed an effective stacked convolutional auto-encoder that integrates a selective kernel attention mechanism for image classification. This model is based on a fully ...

In this paper, we have proposed an effective stacked convolutional auto-encoder that integrates a selective kernel attention mechanism for image classification. This model is based on a fully ...

The hidden output of the LSTM encoder in the different time slots is fed into the attention module to learn the spatial and temporal weight vectors. Finally, the weighted spatial-temporal vectors are ...

In this study, we explore the concept of self-attention for tackling such subtleties in and between diseases. To this end, we introduce, a multi-scale encoder-decoder self-attention (MEDUSA) mechanism ...

Recently, the automatic text summarization has been widely used in text compression tasks. The Attention mechanism is one of the most popular methods used in the seq2seq (Sequence to Sequence) text ...