Real-time calibrated models could have sharpened pandemic decision support in England
Researchers propose a real-time calibration approach that embeds model discrepancy into infectious disease models to support pandemic policy decisions.
Researchers propose a real-time calibration approach that embeds model discrepancy into infectious disease models to support pandemic policy decisions.
Researchers developed a Shapley-guided token pruning method that significantly reduces latency and energy consumption in Vision Transformers for remote sensing ...
A Mamdani fuzzy inference system built on Google BigQuery and MIMIC-IV data produced well-calibrated sepsis risk scores across 38,888 ICU ...
A LLaMA-CLIP cross-attention system improved multimodal matching, intention recognition and personalization in benchmark tests while recording batch-size-one inference latency of ...
Unsafe worker behavior remains one of the most persistent safety risks in the mining industry, and detecting it quickly enough ...
A deployment-efficient CNN-LSTM framework with channel attention detects encrypted, imbalanced, and heterogeneous malicious traffic in real time on CPU-only hardware, ...
A wind-tunnel reinforcement-learning system reduced drag and saved energy in a turbulent bluff-body wake, outperforming model-based baselines two to fourfold.
A six-channel acoustomyography bracelet recognized five hand gestures with 95.3% mean accuracy in an online test on a microcontroller-controlled 5-DOF ...
A simulated five-client study found that a compressed federated student-behavior detector retained 95.64% mAP@0.5 and ran at 15.43 FPS on ...
A Virginia Route 460 pilot found that drivers slowed by an average of 3 mph near activated wildlife-warning signs, while ...
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© 2025 Scienmag - Science Magazine