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Transfer learning empowers material Z classification with muon tomography

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

AI algorithm enables tracking of brainstem's vital white matter pathways

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
IEEE

An Improved DOA Estimation Algorithm for Coherent Signals Based on Multiple Signal Classification Algorithm

Abstract: The Multiple Signal Classification (MUSIC) algorithm, a widely used Direction of Arrival (DOA) estimation algorithm, has the disadvantage of being unable to estimate coherent signals, and ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Ocular Disease Detection via Deep Learning Models

Abstract: There has always been a problem for clinicians to identify eye diseases using fundus images early enough. Ocular disease diagnosis by hand is an expensive task, prone to errors, and ...