Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …

Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …

The impact of air pollution on public health is substantial, and accurate long-term predictions
of air quality are crucial for early warning systems to address this issue. Air quality prediction …

The precise forecasting of air quality is of great significance as an integral component of
early warning systems. This remains a formidable challenge owing to the limited information …

Accurate streamflow forecasting is critical in the domain of water resources management.
However, the inherently non-stationary and stochastic nature of streamflow poses a …

Depression, a widespread and debilitating mental health disorder, requires early detection
to facilitate effective intervention. Automated depression detection integrating audio with text …

According to physiological reports, individuals with different levels of depression present
various facial dynamic patterns. Thus, researchers have examined facial changes to predict …

Depression will become the most common mental disorder worldwide by 2030. A number of
models based on deep learning are proposed to help the clinicians to assess the severity of …

Air quality prediction has garnered significant attention from both governmental bodies and
the general public due to its close connection with people's daily lives. Learning spatio …