Tag: multimodal fusion

Researchers in China have built a deep-learning model that fuses CT, MRI, and 3D radiation dose data to predict which ...

Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...

Researchers have built an AI framework that models the digital spread of Muyu Song, a Chinese intangible cultural heritage folk ...

A PRISMA-compliant systematic review of 48 deep learning studies finds that only 27 percent of diabetic foot ulcer AI systems ...

Researchers have unveiled a diffusion-based framework that fuses text, reference images and sketches with sample-adaptive weighting and iterative user feedback, ...

A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...

Researchers in Beijing developed an expert-guided large language model that extracts interpretable speech-based biomarkers of psychological resilience in major depressive ...

Researchers have developed AttentiveGaze, a real-time multimodal AI framework that fuses face, eye, and head pose cues with attention mechanisms ...

A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful ...

Researchers at Lanzhou University have developed AMGFM, a multimodal AI model that fuses EEG, eye movement, and pupil signals to ...