A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
Abstract: In this study high spatial resolution (1 m) hyperspectral images and LiDAR data (8p/m 2) was applied to discriminate among tree species of mixed forest. The main objective of this study was ...