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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 ...
IEEE

LiquidGAN: Integrating Liquid Neural Networks and Neural ODEs for High-Fidelity Thermal Image Synthesis Under Data Scarcity

Abstract: The growing importance of thermal imaging in a variety of fields, including medical diagnostics, security, and environmental monitoring, emphasizes the critical need for efficient deep ...

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 ...