The architecture of a multimodal system depends on the coordination of diverse hardware and software components into a single ...
Introduction Migration is a complex global phenomenon, with millions of people relocating each year driven by various social or personal reasons. Among them, refugees and asylum seekers form a ...
Abstract: This study explores the application and effectiveness of Eye Movement Modeling Examples (EMME) in learning Standard Operating Procedures (SOP) in the manufacturing industry, where improving ...
Read more about How AI and blockchain are reinventing multimodal logistics for disruption-prone world on Devdiscourse ...
MASLD/MASH represents a growing clinical and economic burden, with MASH conferring heightened risks of advanced fibrosis, cirrhosis, hepatocellular carcinoma, and liver-related mortality. Noninvasive ...
Objectives: To evaluate the diagnostic value of multimodal MRI by comprising quantitative mapping, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating ...
ABSTRACT: With the deep integration of information technology and education, digital textbooks and digital classrooms have become core drivers in promoting a paradigm shift in teaching. This paper ...
Early identification of children's talents remains a critical challenge in personalized education. We present a multimodal AI system analyzing authentic creative artifacts from 5,237 analyses across ...
Development and Validation of Emoji Response Scales for Assessing Patient-Reported Outcomes The Artera multimodal AI (MMAI) platform, using digital histopathology and clinical data, was applied to ...
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