Genetic Rough Set Fusion Model Identifies Photovoltaic Grid Risks with High Accuracy
Researchers developed a dynamic risk identification and defense framework combining genetic rough set feature selection with a serial Transformer and ...
Tag: multi-head self-attention
RGA-MalNet Architecture Detects Malware With High Accuracy Across Benchmark Datasets
A deep learning architecture named RGA-MalNet achieved mean detection accuracies up to 99.97 percent across four benchmark malware datasets using ...
Reliable Vision Model Gauges Diagnostic Uncertainty in Skin Lesion Analysis
A deep learning framework combining DINOv2 representations with Monte Carlo Dropout and temperature scaling successfully quantifies diagnostic uncertainty and calibrates ...
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