Abstract: With the rapid development of the photovoltaic industry, fault diagnosis of photovoltaic systems has become increasingly important. In view of the poor performance of traditional diagnosis ...

Threads users have been complaining about its recommendation algorithm pretty much since the beginning of the platform. At some point, this turned into a meme, with users writing posts jokingly ...

Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity and ...

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 ...

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 ...

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: Objective: To explore the optimization of XGBoost algorithm parameters based on heuristic algorithms, thereby enhancing the classification accuracy of the algorithm. Methods: For the binary ...

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 ...

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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, ...