Ensemble learning improves attack detection across user and network data
A study combining Transformer, deep neural-network and recurrent models with adaptive weighting reported 95% accuracy and 96% recall when detecting ...
A study combining Transformer, deep neural-network and recurrent models with adaptive weighting reported 95% accuracy and 96% recall when detecting ...
A model combining implicit user features, deep neural networks and matrix factorization improved entrepreneurial project recommendations in offline tests on ...
A physics-informed GRU–GNN study estimated marine oil-spill growth and spatial spread over 48 hours, but held-out tests showed limited case-specific ...
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© 2026 Scienmag - Science Magazine