EurekAlert!

Image-based machine learning framework sharpens battery health estimation across varying conditions

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
Frontiers

Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation

The genetic architecture of a trait plays a vital role in the predictive ability of genomic models. While classical methods such as genomic best linear unbiased prediction (GBLUP) remain widely used ...
IEEE

Research on Data Prediction Based on XGBoost and LightGBM Models and BP Neural Network Algorithm

Abstract: This paper focuses on the application of algorithms in data prediction scenarios, where prediction models are constructed and optimised through a variety of algorithms. In the data ...
IEEE

Research on Futures Price Forecasting Based on EMD-XGBOOST Model - Taking the Price Spread Between Soybean Meal and Rapeseed Meal as an Example

Abstract: This study focuses on the volatility characteristics and forecasting needs of the soybean meal-rapeseed meal price spread, aiming to address the difficulty of traditional linear models in ...