Federated AI Learns to Spot Hospital Device Hacks Without Ever Seeing Patient Data
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
A new mathematically guaranteed scoring method keeps robot oversight decisions monotone and explainable, though its benefits so far are limited ...
A hybrid vision transformer framework called ViT-LGFNet combines convolutional local texture extraction with global self-attention, reaching 95.15% mean validation accuracy ...
A bibliometric and systematic review of geospatial research finds machine learning outperforming the popular AHP method and identifies real-time monitoring, ...
A new interpretable AI framework combining large language model embeddings with structured educational data predicted vocational college students' English proficiency ...
A systematic review of 59 studies finds deep learning dominates fungal leaf disease detection while bacterial diagnosis, generative AI and ...
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
A four-tier wearable health monitoring framework combining multimodal deep learning, federated learning, differential privacy and blockchain auditability has reported strong ...
A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...
An explainable deep learning pipeline segments single cells in fluorescence microscopy images and classifies them as normal or metastasising, with ...
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© 2025 Scienmag - Science Magazine