Results 21 to 30 of about 622,796 (161)

Changes in the transformative potential of action proposals in Finnish Red Lists from 1986 to 2019

open access: yesConservation Biology, Volume 40, Issue 4, August 2026.
Abstract Red lists provide critical knowledge regarding biodiversity decline, especially in Finland, where broad assessments have been made regularly since the 1980s. They deliver information on the threat status of species and ecosystems, propose actions to guide conservation policy, and have the potential to spur transformative change.
Anni Arponen   +4 more
wiley   +1 more source

基于MEEMD和SVM的贯通式同相牵引直接供电系统牵引网故障识别

open access: yesDianci bileiqi, 2021
针对贯通式同向牵引直接供电系统牵引网故障识别,提出了一种基于改进总体平均经验模态分解和支持向量机的故障识别方法。利用PSCAD仿真平台搭建3种不同类型(雷击故障,雷击干扰,接地故障)的故障模型,通过模拟仿真得到故障暂态电流,并对其解耦得到故障电流相模分量。采用MEEMD算法对故障电流相模分量进行分解,提取特征向量,通过SVM工具箱进行故障识别。为了验证SVM在故障识别中的优越性,通过对比概率神经网络故障识别,结果表明SVM在故障识别中具有更高的正确率。
庄启康   +4 more
doaj  

基于距离的放电模式识别方法

open access: yesGaoya dianqi, 1997
阐述了用局部放电数字化—计算机测量装置检测放电信号,由放电统计特性来判断设备状态的意义。指出采用模式识别方法提高了放电识别的有效性。介绍了三种基于距离的模式识别方法:置信区间法、最小距离法、趋中心度法,分析了这三种方法的原理、算法和样本构成。最后对这三种用于识别放电的模式识别方法作了比较、归纳。
谈克雄, 李福祺
doaj  

How identity bias affects perceptions of conservation messages on social media

open access: yesConservation Biology, Volume 40, Issue 4, August 2026.
Abstract Public support is essential for conservation, as public opinion can influence decision‐making and policy. Therefore, understanding whether bias toward conservationists due to their identity (identity bias) affects their perceived credibility and support for their recommendations is important.
Lauren F. Rudd   +4 more
wiley   +1 more source

Learner‐Focused Strategy Instruction From the Teachers’ and the Learners’ Perspective

open access: yesInternational Journal of Applied Linguistics, Volume 36, Issue 3, Page 2358-2375, August 2026.
ABSTRACT Numerous large‐scale quantitative studies have been conducted to yield a macro‐level picture of the effectiveness of strategy instruction. However, little is understood about learners' actual processing of strategy instruction and interaction with the teachers delivering it.
Isobel Kai‐Hui Wang, Andrew D. Cohen
wiley   +1 more source

一种新的综合鉴别滤波光学模式识别技术

open access: yes四川大学学报. 自然科学版, 2002
设计了一种可在空域执行的综合鉴别滤波器 (SDF) ,并将其应用于光电混合处理、光学模式识别系统中 ,采用频域执行的SDF光学滤波和空域执行的SDF数字滤波相结合的方法 ,对输入场景中的三维目标进行实时、畸变不变识别 .通过综合鉴别滤波的数值模拟和实时、畸变不变相关识别的硬件光学执行实验显示 :该滤波技术可显著提高光学模式识别系统的识别效率 ,增强系统抗强背景噪声干扰的能力 ...
魏宏刚   +3 more
doaj  

Diagnosing Institutional Design‐Implementation Gaps: A Dual‐Layer Systems Modeling Language Protocol for Visualizing Institutional Change Mechanisms

open access: yesPolicy Studies Journal, Volume 54, Issue 3, August 2026.
ABSTRACT This study introduces a dual‐layer protocol for diagnosing how formal institutional designs are implemented in practice in complex governance systems. The protocol builds two linked process maps; one for the formal rules and procedures (rules‐in‐form) and one for the routines actors actually follow in practice (rules‐in‐use).
Sina Jangjoo   +7 more
wiley   +1 more source

Power Through Visibility: How Policy Narratives Matter in Climate Change Debate on X

open access: yesPolicy Studies Journal, Volume 54, Issue 3, August 2026.
ABSTRACT Research on policy narratives has shown that political actors employ certain narrative strategies in their competition for attention. Although we know that actors' narrative strategies coincide with existing power constellations (e.g., government vs. opposition), the ways in which they influence public attention remain largely unknown. In this
Simon Bulian   +3 more
wiley   +1 more source

基于模式和投影学习的领域概念上下位关系自动识别研究

open access: yes, 2020
[目的]实现对领域概念上下位关系的自动识别,以解决领域本体自动化构建中领域概念间语义关系的自动获取和确立问题。[方法]将传统无监督的基于模式的方法和当前先进的有监督的基于投影学习的方法有机结合起来应用于领域概念上下位关系自动识别,并进行了试验研究。[结果]能识别出领域概念的上位词集合,在医学领域的识别精度为0.88,通用领域的识别精度为0.83,在评估基准集BLESS上的平均精度为0.85。[局限]受句法歧义、语料集的质量等影响,模型精度尚未达到峰值,存在错误识别的情况。[结论 ...
王思丽, 杨恒, 祝忠明, 刘巍
core   +1 more source

改进SVR及其在传感阵列模式识别中的应用

open access: yesGaoya dianqi, 2011
针对传统神经网络模式识别中存在网络结构难于确定、过学习、收敛速度慢、易陷入局部极小值等不足及标准支持向量回归机中未考虑各样本重要性的差异问题,结合变压器油中多组分气体监测传感器阵列,将改进型支持向量回归机应用于气体传感器阵列信号模式识别中。实验结果表明,改进后的模式识别方法在预测精度和泛化能力上都较传统神经网络和标准支持向量回归模式识别方法有明显提高,有效地解决了多组分气体监测传感器的交叉敏感问题。
陈伟根, 彭姝迪, 王有元, 郝迈
doaj  

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