Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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 ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions. A machine learning (ML) model using ...

Abstract: The focus of the research is to utilise the XGBoost algorithm in comparison to the K-Means algorithm is to prevent pop-up windows from showing up on a web application. The K-Means Algorithm ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...

ABSTRACT: In the course of oil and gas exploration, understanding the petrophysical parameters such as reservoir porosity and permeability is crucial for evaluating oil and gas reserves and mining ...