Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...
The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US Pernat, M., Kasprzyk, J., Zagona, E., Walker, S., Livneh, B., ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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