This study evaluates the effect of common resampling strategies on imbalanced binary classification by benchmarking multiple classifiers—including linear models, distance-based methods, tree learners, ...

ABSTRACT: Background/Objectives: Disordered eating behaviors and weight dissatisfaction are increasingly prevalent among Hispanic adolescents. However, limited research has explored how these factors ...

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Deep learning has revolutionized numerous fields, notably image classification. However, conventional methods in agricultural pest recognition struggle with the long-tail distribution of pest image ...

Abstract: We present an efficient approach to generating uniformly distributed resampling points of raw 3D point clouds. A key contribution for making such a resampling method both practical and ...

Having an online presence is no longer an option; it’s a necessity. From small businesses to huge multinational companies, online visibility has a big impact on the success of a business. This is why ...

Investigating scale-free (i.e., fractal) functional connectivity in the brain has recently attracted increasing attention. Although numerous methods have been developed to assess the fractal nature of ...