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arXiv cs.CR11d ago

E-UDE Model Reduces Malware Propagation Prediction Errors by 66%

The E-UDE framework achieves RMSE of 783.70 and MAE of 421.65 on real-world data while remaining robust to noise.

malware-propagation scientific-machine-learning