Characterizing Spatial Variability of Soil Organic Carbon Through Improved Machine-Learning Modeling With In Situ Data Resampling: A Case Study in Alaska ...

Ten SSRI-resistance predicting models were finally selected by using support vector machine, and our study found that mutations in tagSNPs increased the accuracy of these models to a certain degree.

These challenges impede the effective extraction of consistent structures, undermining clustering stability and overall model performance. To address these challenges, we propose a superpixel-based ...