Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Birdwatching activates a rare cognitive pattern called soft fascination — a state where attention is gently engaged without ...
An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
Abstract: Early and accurate prediction of cerebral vascular accidents (CVA) is essential for timely intervention and improving patient outcomes. This study investigates various classification ...
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 ...
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