Results 31 to 40 of about 844 (118)
ABSTRACT High‐entropy alloys (HEAs) have attracted considerable interest from researchers owing to their tunable chemical compositions, exceptional structural stability, and promising catalytic properties. However, their large‐scale application is often hindered by complex manufacturing techniques and poor durability.
Sheng Guo +9 more
wiley +1 more source
基于改进CNN-BiLSTM模型和地磁监测数据的多时间长度GIC预测
太阳风暴在电力系统网络中驱动产生的GIC会影响电力设备和系统的安全运行, 严重时还会引发大面积停电事件. 预测电网GIC水平能够为电力系统保护措施提供重要参考, 然而对这方面的研究仍显不足. 为了解决该问题, 将卷积神经网络(CNN)与双向长短时记忆(BiLSTM)以及注意力机制相结合, 利用空间天气的相关监测信息, 提出了大规模电网GIC多时间长度的预测方法.
蓝 东亮 +6 more
doaj +1 more source
Electromagnetic signal denoising method based on inverse autoencoder and channel attention mechanism [PDF]
The magnetotelluric (MT) method is a core technology widely used in geophysical exploration and commonly used in geological surveys, resource exploration and geodynamic research.
Chao Zhang, Mingjie Ji, Nian Yu
core +1 more source
ABSTRACT Multilingual students in Anglophone universities often operate in survival mode. While translanguaging supports learning, critical gaps remain in understanding how translanguaging pedagogies transform and sustain motivation in English‐dominant contexts.
Melissa Jufenna Slamet, Julie Choi
wiley +1 more source
Mine remote sensing image denoising method based on improved YOLOv5 [PDF]
The images of typical open-pit mining scenarios exhibit multi-type composite noise characteristics, with a low signal-to-noise ratio and significant spatial heterogeneity.
CHEN Pei, FANG Kun, PEI Dan, QING Yudong
core +1 more source
Scientists in power plays: How substantive were scientists' narratives during the COVID‐19 pandemic?
Abstract Scientists who provide expert advice must engage with policy processes. Little is known about whether and how scientists deal with the political dynamics of policy processes that are inherent to policymaking. We study this question by building on the policy dimension concept within the Narrative Policy Framework.
Jule Ksinsik, Caroline Schlaufer
wiley +1 more source
针对使用粪便显微分析法时对食草动物粪便中植物表皮细胞人工分类困难且效率低的问题,提出一种基于多轴注意力的双通道神经网络分类方法,用于自动识别显微镜下食草动物粪便中残留的植物表皮细胞种类。首先,获取粪便中残留的植物表皮细胞图像,作为神经网络模型的输入;引入多轴注意力机制提高网络特征提取能力,同时降低注意力导致的计算复杂度;构建局部和全局通道,提高网络对植物表皮细胞图像信息的获取能力;最后将2个通道提取的特征进行融合,完成对植物种类的识别。此外,应用移动倒置瓶颈卷积(MBConv)模块进行模型的轻量化处理 ...
马光凯 +4 more
doaj
Narrative power in the narrative policy framework
Abstract The Narrative Policy Framework lacks clear and empirical explanations of power. Yet, the study of narratives is inherently the study of power in shaping policy outputs and decisions. We develop a conceptual model positing that expressions of power (power to, with, and over) may be discovered in narrative constructs (e.g., narrative structure ...
Elizabeth A. Shanahan +8 more
wiley +1 more source
ABSTRACT Despite extensive research on policy diffusion, the ways in which policy attention influences this process remain underexplored. This study addressed this gap by distinguishing between three types of policy attention—political speeches, policy issuance and field visits—and investigating their differential impacts when delivered by central and ...
Xiangning Chen, Yahua Wang
wiley +1 more source
近年来,基于自注意力机制的神经网络在计算机视觉任务中得到广泛的应用。随着智能交通系统的广泛应用,面对复杂多变的交通场景,车牌识别任务的难度不断提高,准确识别的需求更加迫切。因此提出一个基于自注意力的免矫正的车牌识别方法T-LPR。首先对图像进行切片和序列化,并使用3D卷积对切片序列进行特征提取,从而得到图像的嵌入向量序列。然后将嵌入向量序列输入基于Transformer Encoder的编码器中,学习各个嵌入向量之间的关系并输出最终的编码结果。最后使用分类器进行分类。在多个公共数据集上的实验结果表明 ...
曾淦雄, 柯逍
doaj

