A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: Several researchers explore the impact of using KFold cross-validation in enhancing the model’s prediction performance. Improvement in the accuracy was shown in the available presented ...
Sampling allows archaeologists to draw conclusions about a site or region using only a fraction of the area. Because excavation is destructive and funding is limited, leaving parts unexcavated can be ...
The North American southwest was dustier during interglacial climates, in contrast with global trends. Long-term regional dust emissions depend on the erosion of hillslope and tributary sediments into ...
Abstract: Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and need to ...