Results 31 to 40 of about 1,576 (163)
Mycorrhiza‐induced alterations in the spatial structure of stands in a subtropical forest
Read the free Plain Language Summary for this article on the Journal blog. Abstract Spatial aggregation patterns represent snapshots of ecological processes that occurred over an extensive period. Such processes can shape both the conspecific and the heterospecific spatial structure of plants across woody habitats.
Jingjing Xi +6 more
wiley +1 more source
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
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
Several Research on Random Forest Improvement [PDF]
在机器学习领域,随机森林是一种重要和常见的数据挖掘方法。随机森林不 仅具有很高的分类性能,而且具有需要调整的参数较少、运算快速高效、不用担 心过拟合以及较强的容忍噪声能力等特点。随机性能良好的性能使得其在智能信 息处理、生物信息学、金融学、故障诊断、图像识别、工业自动化等领域得到了 广泛的应用并取得巨大的成功,吸引了人们的广泛关注。 虽然许多学者对随机森林进行了广泛的研究,并且取得了许多显著的成果, 但是随机森林仍然存在一些局限和不足,拥有一些可改进的空间 ...
李贞贵
core
Finding floral and faunal species richness optima among active fire regimes
Abstract Changing fire regimes have important implications for biodiversity and challenge traditional conservation approaches that rely on historical conditions as proxies for ecological integrity. This historical‐centric approach becomes increasingly tenuous under climate change, necessitating direct tests of environmental impacts on biodiversity.
Zachary L. Steel +8 more
wiley +1 more source
The research of machine learning in quantitative investment [PDF]
近些年,量化投资问题受到广泛关注.本文主要探讨机器学习在量化投资领域方 面的应用.本文主要利用决策树算法对中证500成分股进行研究,找出其中具有超额收 益的股票,构建出投资组合.我们应用了SMOTE、CART、RandomForests等机器学习 算法进行模型构建.同时还对比了其他机器学习算法在该数据集上的表现.发现我们 的算法具有较好的表现.In recent years, the issue of quantitative investment has been widely concerned ...
赵汝鑫
core
Abstract Forest cover is positively associated with fish biomass and fisheries yield in the Amazon River floodplain, and many species enter flooded forests to feed, spawn, or seek refuge from predation. Floating macrophyte beds, known as floating meadows, in Amazon floodplains support high fish diversity and serve as nursery habitat for many fishes of ...
Sam Grinstead +6 more
wiley +1 more source
针对利用分类器对建筑结构进行损伤识别的问题,引入一种新的组合分类器算法——随机森林,提出基于小波包分解和随机森林的结构损伤识别方法。首先,采用小波包对结构在不同损伤程度和位置上的振动加速度信号进行分解,得到各个频带上的总能量;然后,利用各频带上能量值存在着差异性作为输入到分类器的特征向量;最后,训练随机森林模型并对建筑结构的损伤位置和损伤程度进行识别。应用该方法对一座8层剪切型钢框架结构进行损伤判别,并与BP神经网络和支持向量机方法进行对比 ...
周绮凤 +3 more
core
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

