Meta-learning emerges as a promising path for cloud DDoS detection
A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...
A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...
A new EEG study combined entropy-optimized symbolic signal analysis with a bidirectional LSTM network to distinguish children with ADHD from ...
A simulator-based hybrid quantum-classical framework reported 98.5% accuracy in predicting cross-border e-commerce marketing effectiveness, outperforming classical baselines on synthetic transaction ...
A preliminary case series found that an AI facial analysis application agreed with a single dermatologist on 83 percent of ...
A systematic review of 78 papers examines how machine learning methods support demand forecasting and inventory decision-making.
A new deep learning framework called RCNNricePPI predicts rice protein-protein interactions from amino acid sequences, achieving an accuracy of 0.8996 ...
A systematic review of 306 studies finds most machine learning crash severity models ignore class imbalance and a large share ...
UniLoopNet predicts enhancer–promoter, enhancer–enhancer, CTCF-mediated, and stripe-associated chromatin interactions from DNA sequence using a multi-task deep learning framework.
Every year, tens of millions of mammograms are performed worldwide, and many of them contain a quiet clue about a ...
A systematic review of 45 studies finds that the most accurate AI models in high-stakes domains are often the least ...
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© 2025 Scienmag - Science Magazine