使用机器学习或深度学习方法进行电力负荷预测处理 变电站的电力负荷预测数据集的应用 33_11 KV 变电站电力负荷预测数据集(8000多数据+电压、电流功率因数、节日、温湿度等) @[toc] 以下文字及代码仅供参考学习使用。 数据集描述： 33_11 KV 变电站电力负荷预测 ...

Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...

TreVeyon Henderson has big-game potential against a Bills' defense that allows 4.99 yards per carry and the fifth-most fantasy points to RBs. Maddie Meyer / Getty Images Though they’re ultimately two ...

This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...

The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...

Abstract: Recently, liver disease is emerging as one of the most common diseases with high fatality rate. The number of liver affected patients are steadily increasing due to various factors such as ...