Classification optimization of geological hazard susceptibility evaluation factors based on AIFFC algorithm [PDF]
This paper addresses the issue of uncertainty in the grading of geological hazard susceptibility evaluation factors and introduces the adaptive expansion factor fuzzy coverage grading method (AIFFC) to optimize the grading of geological hazard ...
Bin CHEN +6 more
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Food and Energy Security, Volume 15, Issue 2, March/April 2026.ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
wiley +1 more source
Susceptibility assessment of debris flow in the upper reaches of the Minjiang River before and after the Wenchuan earthquake [PDF]
Accurately and scientifically mapping debris flow susceptibility and the determination of key controlling factors and their contribution rates are essential foundations for regional debris flow early warning, forecasting and risk management.
Jiayi ZHAO +3 more
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Establishment of Mathematical Models for Skeletal Age Determination of Extremitas Sternalis of Clavicle in Shanxi Adolescents [PDF]
, 2020 Objective To develop mathematical models for skeletal age determination with multiple statistic method based on the correlation between age and the growth of the epiphysis of extremitas sternalis of clavicle in Shanxi adolescents.
ZHANG Hua-hua , ZHAO Chen , LIU Hu-yue , et al.
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Comparison and application on meteorological forecast models of geological hazards for highways in low mountain and hilly area: A case study along the highways in Jiangxi Province [PDF]
, 2023 In order to improve the prediction and early warning of road geological hazards and mitigate the impact of heavy rainfall on the safety of high-speed driving in mountainous areas, this paper combines precipitation data from national meteorological ...
Keyong XIE +3 more
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Mycorrhiza‐induced alterations in the spatial structure of stands in a subtropical forest
Functional Ecology, Volume 40, Issue 3, Page 668-678, March 2026.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
Dizhen xuebao针对现有的基于实际震害评估的大多研究仅限于某特定区域和某种结构类型，且所采用的数据样本量也十分有限，本文基于随机森林模型，采用2011年3月11日东日本MW9.0地震的37万8 037条建筑物实际震害数据，利用美国应用技术协会发布的地震震害等级划分标准（ATC-13）预测了建筑物地震破坏所引起的损失，对建筑物损失的影响因素进行了特征重要性分析。结果显示：通过合成少数类过采样技术（SMOTE）解决数据不均衡和贝叶斯优化超参数之后，得到了基于随机森林的预测模型测试集的准确率为68.8%，轻微破坏、中等破坏 ...
Zihao Liang +3 more
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红外光谱快速识别食用植物油种类的研究Fast identification of edible vegetable oil kinds by infrared spectroscopy
Zhongguo youzhi, 2023 为实现食用植物油种类的快速无损识别，为公安实战中打击“食药环”犯罪提供参考，借助衰减全反射-傅里叶变换红外光谱技术对不同类别、品牌食用植物油进行了多层次分类识别工作。采用标准正态变换（SNV）和一阶导数预处理消除基线和其他背景干扰，使得重叠峰发生分离，从而提高检测的分辨率和灵敏度，利用竞争性自适应重加权算法（CARS）提取特征波长，结合基于布谷鸟搜索算法优化的极限学习机（CS-ELM）模型对不同种类和品牌的食用植物油进行分类识别，同时对比随机森林模型与CARS-CS ...
接昭玮1, 李绅2, 汪睿璇3，王继芬1，张震1, 徐晓杰4，周娣4，石学军4 JIE Zhaowei1, LI Shen2, WANG Ruixuan3, WANG Jifen1, ZHANG Zhen1, XU Xiaojie4, ZHOU Di4, SHI Xuejun4
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Susceptibility analysis of geological hazards based on the random forest weighted information value model: A case study of Shidian County,Yunnan Province [PDF]
Traditional information value models for evaluating geological hazard susceptibility typically involve simply summing the information values of various evaluation factors, without considering the differences in weight among these factors. This can affect
Cheng HUANG +4 more
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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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