The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...
SAN DIEGO, March 12, 2026 /PRNewswire/ — NetAirus Technologies – NetAirus introduces Panatem™ an Artificial Intelligence World Model framework that enables next-gen AR/VR and smart glasses to ...
Abstract: The process of automatically generating descriptive captions for images has become an increasingly important research area that lies at the intersection of computer vision and natural ...
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