Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Symmetric positive definite (SPD) matrices have been employed for data representation in many visual recognition tasks. The success is mainly attributed to learning discriminative SPD matrices ...

This multi-course dinner series integrates projection mapping technology, visual storytelling and top culinary talent for a ...

38 Hospital Street in Frederiksted, St. Croix, before and after repairs. (Photo courtesy CHANT) Backed by a $10 million federal investment, the Virgin Islands Historic Building Recovery Program has ...

Firstly, the localized sample structure recognition (LSSR) is conducted to determine the neighborhood of meteorological conditions, where feature weights of Euclidean distance measurement are ...

PySSA (Python rich client for visual protein Sequence to Structure Analysis) for Windows is a comfortable open Graphical User Interface (GUI) application combining the protein sequence to structure ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...