In the world of intelligent agriculture, agricultural disease picture detection plays a critical
role. Plant disease identification must be efficient if agricultural production is to be increased …

Emotion analysis, an integral aspect of human–machine interactions, has witnessed
significant advancements in recent years. With the rise of multimodal data sources such as …

Depression has become a worldwide public health concern in recent years. The online
social network can be served as a tool to predict latent depressed users. However, existing …

Social media posts provide valuable insight into the narrative of users and their intentions,
including providing an opportunity to automatically model whether a social media user is …

Leaf diseases include various diseases like abscission, gummosis, Alternaria solani,
vesicatoria, and Pucciniales. Farmers from all around the world are constantly concerned …

Automatic depression detection based on audio and text representations from participants'
interviews has attracted widespread attention. However, most of previous researches only …

Depression, a widespread psychiatric disorder affecting people globally, spans all age
groups, predominantly impacting adults. This bipolar disorder characterized by symptoms …

The classification of large image data using traditional methods has been based on changes
in image gray features, extraction of edge and contour feature information, or conversion …

The widespread use of social media has gradually unlocked the potential of utilizing its data
for identifying depression. This paper introduces a Prompt-Based Depression Detection …