Results 1 to 10 of about 2,517 (111)
Characterization of Retained Austenite in Advanced High‐Strength Steel
Scanning, Volume 2023, Issue 1, 2023., 2023 The retained austenite (RA) in advanced high‐strength steels directly affects their plasticity. It is very important for the accurate characterization of their content and types. This paper prepared three specimens with three different Mn contents (1.0%, 1.4%, and 1.7%) that are used to obtain high‐strength steel by ultrafast cooling heat treatment ...
Shouhua Li +8 more
wiley +1 more source
Scanning, Volume 2022, Issue 1, 2022., 2022 Hydrogen embrittlement can easily occur in high strength martensitic steel, manifesting itself as a sudden failure or fracture without warning and greatly threatening the safety of automotive applications. Optimizing the composition of the alloy can be performed by matching heat treatment processing methods and controlling the precipitation amounts to ...
Bo Liu +8 more
wiley +1 more source
Study becomes insight: Ecological learning from machine learning
Methods in Ecology and Evolution, Volume 12, Issue 11, Page 2117-2128, November 2021., 2021 Abstract The ecological and environmental science communities have embraced machine learning (ML) for empirical modelling and prediction. However, going beyond prediction to draw insights into underlying functional relationships between response variables and environmental ‘drivers’ is less straightforward.
Qiuyan Yu +5 more
wiley +1 more source
Trends and knowledge gaps in field research investigating effects of anthropogenic noise
Conservation Biology, Volume 35, Issue 1, Page 115-129, February 2021., 2021 Abstract Anthropogenic noise is a globally widespread sensory pollutant, recognized as having potentially adverse effects on function, demography, and physiology in wild animals. Human population growth and associated changes in urbanization, transportation, and resource extraction all contribute to anthropogenic noise and are predicted to increase in ...
Paul Jerem, Fiona Mathews
wiley +1 more source
Effects of spatial autocorrelation and sampling design on estimates of protected area effectiveness
Conservation Biology, Volume 34, Issue 6, Page 1452-1462, December 2020., 2020 Abstract Estimating the effectiveness of protected areas (PAs) in reducing deforestation is useful to support decisions on whether to invest in better management of areas already protected or to create new ones. Statistical matching is commonly used to assess this effectiveness, but spatial autocorrelation and regional differences in protection ...
Pablo Jose Negret +5 more
wiley +1 more source
Decision‐support tools for dynamic management
Conservation Biology, Volume 34, Issue 3, Page 589-599, June 2020., 2020 Abstract Spatial management is a valuable strategy to advance regional goals for nature conservation, economic development, and human health. One challenge of spatial management is navigating the prioritization of multiple features. This challenge becomes more pronounced in dynamic management scenarios, in which boundaries are flexible in space and ...
Heather Welch +4 more
wiley +1 more source
基于EMD-XGBoost模型的交流输电线路可听噪声有效数据预测方法研究
Gaoya dianqi, 2023 背景噪声的存在使得采集输电线路可听噪声时会得到大量的无效数据，影响了可听噪声作为输电线路设计标准时的准确性。为此在夜间收集了可听噪声A声级、可听噪声5 000 Hz以上分量及气象因素，并研究了可听噪声A声级与可听噪声5 000 Hz以上分量以及气象因素之间的相关性。通过建立EMD算法优化的XGBoost模型，对可听噪声5 000 Hz以上分量，气象因素与A声级有效数据之间的相关性进行了验证。结果表明：可听噪声8 000 Hz分量、可听噪声16 000 Hz分量、可见范围 ...
李振华 +4 more
doaj
Zhejiang Daxue xuebao. Lixue ban, 2002 低声级噪声对人们产生的影响目前尚未引起足够的重视,针对住宅楼底层箱式变压器引起的室内结构声污染,采用模糊数学原理进行了噪声烦恼度研究,发现在低频低噪声环境下 ...
DIGuo-qing(翟国庆) +2 more
doaj +1 more source
Haiyang gongcheng zhuangbei yu jishu, 2023 海上平台组块房间风道及其设备运行过程中产生各种噪声, 对操作人员甚至是水下鱼类等造成不同程度的影响, 有必要对海上平台组块噪声控制提出更高要求。 综合湍流脉动与风机空气激励耦合作用, 建立平台组块风道噪声计算模型, 利用FW H 方法分析通风系统中风道噪声对平台房间声压级影响; 基于统计能量(SEA) 法, 构建平台组块房间SEA 模型, 分析SEA 子系统内损耗因子和子系统间耦合损耗因子, 并预报组块房间噪声动态分布状况, 确定典型工况噪声传播路径及主导分量 ...
刘新福 +6 more
doaj
An adaptive fuzzy median filtering algorithm for salt and pepper noise removal(一种去除椒盐噪声的自适应模糊中值滤波算法)
Zhejiang Daxue xuebao. Lixue ban, 2019 针对传统中值滤波算法降噪性能不佳以及易造成图像细节模糊的问题，提出了一种自适应模糊中值滤波算法。滤波过程分为噪声检测和噪声去除2 个阶段。噪声检测阶段：采用极值法检测噪声，将图像的像素点分为两类，即疑似噪声点和信号点。通过疑似像素点和与其相邻的已处理的像素点的平均绝对灰度差值定义模糊隶属度函数，利用该函数对疑似噪声点是否为噪声进行模糊分类。噪声去除阶段：信号点保持原值输出，对于疑似噪声点的3 种分类结果，采用模糊加权的中值滤波器进行统一处理。实验结果表明，较于多种传统滤波方法 ...
WANFengfeng(万丰丰) +2 more
doaj +1 more source