A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
We're announcing our newest additions to the Segment Anything Collection, SAM 3 and SAM 3D, which simplify video editing and ...
Abstract: Point cloud 3D object detection technology has increasingly gained attention due to its precision in rendering three-dimensional environments essential for autonomous driving. However, ...
Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.
A research team has developed an extrapolation-based Doppler resolution enhancement algorithm for frequency modulated ...
Signal extrapolation yields high-resolution Doppler estimation without complex computation - Expected to improve unmanned system performance ...
ZAC has an impressive team of scientists/developers. The development is headed by Dr. Saied Tadayon, a scientist, veteran software developer, and math prodigy, who ranked 1st as an undergrad at ...
Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...
Abstract: Precisely identifying objects of interest in remote sensing imagery requires not only accurate classification but also precise delineation of their location, scale, and orientation. However, ...
1 The First Clinical Medical College, The Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China 2 The Affiliated People’s Hospital of Fujian ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
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