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

Deep Learning-Based Cascade Failure Prediction for Transmission Lines at Risk in an IoT-based Power Grid Monitoring Framework

Abstract: Under an internet of thing (IoT)-based framework, a power grid monitoring system can collect real-time transmission line data, which can then be used to predict the cascading failure risks ...
Frontiers

Machine learning-based prediction of one-year mortality after alloHCT identifies the impact of pre-transplant immunity and inflammation

Accurate prediction of mortality after allogeneic hematopoietic stem cell transplantation (alloHCT) is essential for individualized treatment decisions, yet existing clinical risk scores capture only ...