Explainable AI models track EV battery health over 6G networks
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
A bibliometric analysis of 4,872 Web of Science publications shows artificial intelligence research on atmospheric aerosols and particulate matter expanded ...
A new review finds that AI models reading digital images of culture plates can detect microbial growth with sensitivities of ...
A new deep learning framework called VARDON uses adaptive dropout mechanisms to improve enzyme classification in fish proteomes, with strong ...
A leakage-controlled benchmark of TabNet and eight baselines on cervical cancer and Alzheimer's disease miRNA datasets finds a shared accuracy ...
A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...
A standardized 3D convolutional neural network identified cervical spinal cord injury on CT scans with AUC-ROC values near 0.95 across ...
A scoping review of 14 studies finds that vision-based markerless tool tracking in open surgery remains dominated by simulated data ...
A deep learning model estimated the cerebral maturation age of preterm infants from EEG bursts with a mean error of ...
A knowledge-distilled convolutional network reached 92.64 percent accuracy on an independent breast ultrasound dataset, outperforming chief physicians in a retrospective ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine