Frontiers

Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis

1 College of Agronomy, Sichuan Agricultural University, Chengdu, China 2 Yibin Municipal Company of Sichuan Provincial Tobacco Corporation, Yibin, China Tobacco leaf diseases significantly affect ...
IEEE

Neurological Disorder Recognition via Comprehensive Feature Fusion by Integrating Deep Learning and Texture Analysis

Abstract: Neurological disorders, including Brain Tumors (BTs), Alzheimer’s Disease (AD), and Parkinson’s Disease (PD), pose significant global health challenges. Early and accurate diagnosis is ...
IEEE

The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...