Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders.

Based on the strengths of both approaches and the concept of a dual-branch architecture, in order to better achieve segmentation of sand dune images in desert areas, a dual-branch network combining ...