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 ...
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 ...
Background: Gastric cancer remains a major cause of cancer-related morbidity and mortality. Despite advances in surgical and perioperative care, prolonged hospitalization continues to strain ...
To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...
Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...
Abstract: This paper aims to optimize the traditional XGBoost regression model by using the four-vector algorithm, so as to achieve the accurate prediction of road traffic flow. The main objective of ...
Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...
They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
1 Department of Breast, Jiangmen Central Hospital, Jiangmen, Guangdong, China 2 The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China Mucinous breast ...
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