AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...

We proposed a convolutional autoencoder with sequential and channel attention (CAE-SCA) to address this issue. Sequential attention (SA) is based on long short-term memory (LSTM), which captures ...

Emotion recognition through electroencephalography (EEG) has been an area of active research, but the inherent sensitivity of EEG signals to noise and artifacts poses significant challenges, ...