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Some models also fail when data scales or some feature is unavailable after time on which model prediction was dependent. Our model's accuracy and dependability are maintained by managing these ...

Deep learning (DL) and machine learning (ML) are trending approaches to enhance the spectrum sensing performance. This paper introduces the generalized additive model (GAM) as an ML-based spectrum ...

Liver disease modelling: This liver model reconstructs the liver periportal region architecture, is able to model aspects of cholestatic liver injury and biliary fibrosis, and can show how ...

Although some cells are still missing, namely the endothelium and immune cells, the model captures with high precision the cellular and structural architecture of the liver's periportal area at the ...