IEEE

Fault Diagnosis for Transformer Winding using Morpho-offset Feature of Oscillating Wave and CPO-XGBoost Algorithm

Abstract: Accurate and effective diagnosis of transformer winding conditions is crucial for ensuring their safe and reliable operation. This paper proposes a transformer winding fault detection method ...
IEEE

Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm

Abstract: In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and ...
GitHub

StellarCodeBio: Architecting Next-Generation AI for Scientific Discovery

Welcome to the official repository of the StellarCodeBio initiative! StellarCodeBio is a deeply personal and ambitious long-term exploration into the future of Artificial Intelligence. It moves beyond ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...