Results 41 to 50 of about 965 (167)
Dizhen xuebao针对因测量等误差对等效剪切波速计算的影响而造成的场地类别容易因单个因素稍有变化即发生的类别改变问题，从江苏省盐城地区收集了大量厚覆盖土层情况下的标准贯入值、深度、剪切波速等相关现场试验数据，利用机器学习方法进行训练建模，研究多特征值模型解决厚覆盖土层情况下场地分类问题的能力。结果表明：随机森林模型的分类精度在加入“等效变异系数”后可达97.7%，且其泛化能力以及对样本总体的判断能力均优于支持向量机模型，该模型为厚覆盖土层建筑场地类别的判断提供了一种新的方式。将二次判断结果与勘探报告结果对比 ...
Zhekai Wang, Huiming Tan, Zhibing Gao
doaj +1 more source
Construction of a machine learning-based prediction model for mitral annular calcification [PDF]
Objective To develop a risk prediction model for mitral annular calcification (MAC) using various machine learning algorithms to enable early identification and risk assessment of MAC. Methods A total of 500 patients who were hospitalized and underwent
BAI Song +5 more
core +2 more sources
Advances in the application of 18F-FDG PET/CT radiomics for diagnosis, treatment and prognosis prediction of lymphoma [PDF]
, 2023 Lymphoma is a highly heterogeneous hematological malignancy that can affect multiple organs throughout the body, exhibiting significant clinical variations among its subtypes.
CHENG Ran, HU Jiajia, LI Biao
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Integrative Conservation, Volume 4, Issue 4, Page 641-651, December 2025.Key Largo woodrats are a small and endangered island species, whose individuals tend to occur in family groups. Isolation from mainland populations, predation, and habitat fragmentation have caused genetic drift, leading to low overall diversity. Here, we found that a major category 4 hurricane promoted genetic diversity in the Key Largo woodrat ...
Taylor Ackley +5 more
wiley +1 more source
World Medical &Health Policy, Volume 17, Issue 4, Page 823-830, December 2025.ABSTRACT Sepsis is a leading cause of mortality in the United States, with over 350,000 deaths annually, yet the contribution of neighborhood‐level social determinants of health (SDoH) remains underexplored. We conducted a retrospective analysis of 4.4 million hospitalized patients with sepsis, identified using ICD‐10 codes, leveraging de‐identified ...
Ahad Khaleghi Ardabili +3 more
wiley +1 more source
大数据特殊涂装（简称特涂）维修是修船工作的核心内容，能耗的预测是船舶智能能效优化中的一项重要任务。使用随机森林回归（RFR）模型对船舶特涂维修日能耗进行分析，去除异常值、随机化和标准化数据集，然后使用RFR模型对船舶日能耗历史数据进行训练拟和，利用带交叉验证的网格搜索优化RFR模型，使用优化后的RFR模型对船舶特涂维修日能耗数据进行分析，并与其他模型进行对比实验。结果表明，优化后的RFR模型预测效果优于多种其他模型，R2值达93.25%，均方误差明显更低。
甘瑞平, 任新民, 姜军, 李鹏, 周小兵
doaj +1 more source
Susceptibility assessment of debris flow disaster based on machine learning models in the loess area along Yili Valley [PDF]
The Yili Valley, located on the border between China and Kazakhstan, serves as the juncture of North and South Xinjiang, and stands as a pivotal outpost on the Silk Road Economic Belt.
Mingyang WU +5 more
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Functional Ecology, Volume 39, Issue 9, Page 2327-2341, September 2025.Read the free Plain Language Summary for this article on the Journal blog. Abstract While elevational patterns of soil bacterial and fungal communities in mountain ecosystems have been well documented, the assembly processes of soil archaeal and protistan communities, and their linkage with ecosystem multifunctionality (EMF), remain poorly understood ...
Bao‐Min Yao +14 more
wiley +1 more source
Advances in the Application of Machine Learning to Microbial Structure and Quality Control of Traditional Fermented Foods [PDF]
The unique flavor properties and rich nutrients of traditional fermented food are closely related to its complex and variable microbial structure, which also makes it difficult to control the quality of final fermented product.
Chenwei TANG +8 more
core +1 more source
Exploratory analysis of gut microbiota differences in childhood asthma with different severity [PDF]
, 2023 Objective·To explore the characteristics and differences of gut microbiota in children with different severity of bronchial asthma, and build a prediction model of gut microbiota in severe asthma.Methods·In this study, children aged 5 to 14 diagnosed ...
HAN Xiao +3 more
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