Mining learner behavior patterns sharpens adaptive English learning paths
A study of 1,000 university learners identified four distinct online English learning behavior patterns and showed that feeding them into ...
A study of 1,000 university learners identified four distinct online English learning behavior patterns and showed that feeding them into ...
A new attention-based neural network that reconfigures its risk logic according to macroeconomic conditions outperformed standard machine learning and statistical ...
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
A hybrid CNN-LSTM-attention model predicts risky digital usage patterns in adults aged 60 and older with 0.947 accuracy and 0.93 ...
Deep learning models trained on video, equipment logs and clinical data from 222 real coronary angiograms recognized catheterization lab workflow ...
A study in Discover Artificial Intelligence reports that a BOA-CNN-LSTM-enhanced SIMI-Motion system cut relay handover feature extraction errors from 13.2 ...
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
A systematic review of IoT and AI-enabled microclimate regulation in poultry farming demonstrates that predictive climate management can achieve thermal ...
A hybrid AI framework reconstructs six decades of cesium-137 measurements in China's coastal seas and projects the isotope will fall ...
Researchers coupled the AquaCrop crop model with a disturbance-trained deep reinforcement learning agent that cut simulated greenhouse tomato irrigation by ...
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© 2026 Scienmag - Science Magazine