Results 41 to 50 of about 5,573 (153)

A Review on Cracking in Laser Additive Manufacturing of Nickel‐Based Superalloys: Types, Formation Mechanisms, and Suppression Strategies

open access: yesRare Metals, Volume 45, Issue 4, April 2026.
ABSTRACT Nickel‐based superalloys (Ni‐based superalloys) have attracted extensive attention in laser additive manufacturing (LAM) due to their capability to directly fabricate complex and high‐performance structural components. However, the rapid melting and solidification inherent to LAM result in intense thermal cycling, which induces high residual ...
Tianxiang Lin   +9 more
wiley   +1 more source

An Asymmetric Sandwich‐Structured Hydrogel Enables High‐Output Stable Moist–Electric Generation and Self‐Powered Sensing

open access: yesRare Metals, Volume 45, Issue 4, April 2026.
ABSTRACT Moisture‐enabled electricity generation technology offers a new paradigm for sustainable energy harvesting, but its practical applications are still limited by issues such as low output power and insufficient long‐term stability. In this paper, an asymmetric sandwich‐structured hydrogel moist–electric generator (SSHMEG) with an ion ...
Peng Chen   +7 more
wiley   +1 more source

Removing rain from a single image via Convolutional Neural Network [PDF]

open access: yes, 2016
受恶劣天气的影响,室外视觉系统所获得的图像会劣化。雨是常见的恶劣天气之一,目前国内外关于去雨的问题已有一些解决的方案,但大多关注于视频去雨。由于该类方法是以丰富的时空相关信息为前提,因而并不适用于单幅图像去雨。近年来,单幅图像去雨的研究逐渐受到重视,然而现有方法需要在去雨效果和图像清晰度之间折中且计算效率低下,难以满足实际应用需求。 为此,本文针对单幅图像去雨,基于变分法和卷积神经网络提出三种新的单幅图像去雨算法,主要研究内容及成果如下: 1.提出基于梯度正则化的单幅图像去雨算法 ...
陈丽琴
core  

Multi‐barcoding‐based species identification using a hierarchical attention network with staged curriculum learning

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 4, Page 1143-1160, April 2026.
Abstract DNA barcode‐based species identification has become pivotal in biodiversity research. Current barcoding‐based deep learning methods have advantages in species identification but exhibit significant limitations. By using COI barcoding alone, previous studies were unable to fully capture species identification features. Prior methods showed that
Bin Ye   +4 more
wiley   +1 more source

卷积神经网络迁移学习在局部放电类型诊断中的应用

open access: yesGaoya dianqi, 2022
气体绝缘金属封闭开关设备的局部放电具有随机性,即使同一类型缺陷仍有较多表观变化形式,传统模式识别构造的特征难以适应其多变性;近年来兴起的卷积神经网络虽具有自适应提取特征的能力,但训练得到性能更好的网络模型一方面需要增加网络深度,另一方面需要更多的数据样本作为支撑。鉴于此,提出了基于在ImageNet数据集上训练的VGG、InceptionV3、Resnet50 3种网络模型迁移学习的GIS局部放电模式识别方法,并将网络提取的特征应用于在小数据集下表现良好的经典分类器SVM ...
唐志国, 曹智, 何宁辉
doaj  

Application of multiple interactive teaching methods in clinical nursing teaching (多元互动式教学方法在临床护理教学中的应用)

open access: yes中西医结合护理, 2023
Objective To evaluate the application of multiple interactive teaching methods in clinical nursing teaching and practice. Methods From August 2021 to April 2022, a total of 96 nursing students who participated in the internship in the hospital were ...
WANG Shangying (王尚莹)   +4 more
doaj   +1 more source

Assessing the integration of social marketing principles in ivory demand management interventions in China and Southeast Asia

open access: yesConservation Biology, Volume 40, Issue 2, April 2026.
Abstract Consumer demand for ivory perpetuates the unsustainable and illegal killing of African elephants and other wildlife species. Interventions that aim to change consumer behavior are increasingly recognized as a crucial element of demand management. However, poor design and implementation have limited their effectiveness.
Molly R. C. Brown   +2 more
wiley   +1 more source

科学家相关性测度典型算法比较与评析 [PDF]

open access: yes, 2019
调研科技文献作者相关性研究发展进展,对作者相关度算法进行系统化的分析和对比。从网络拓扑 相似度算法入手,梳理和分析面向合作预测领域的作者相关度算法,分析和比较各种常用算法的优劣。对科技文 献作者相关度算法进行系统梳理,分析重点方法的基本原理、优缺点并展望未来发展方向。
单嵩岩, 吴振新
core  

Urban adults' engagement in nature education and its interplay with everyday lived experiences: A case study from Shenzhen, China

open access: yesPeople and Nature, Volume 8, Issue 3, Page 741-753, March 2026.
Abstract Currently, scholarship on education to foster connectedness with nature primarily focuses on children. As adults likewise face the disconnection from nature and play a key role in influencing children, it is important to understand how they perceive, engage in, and benefit from relevant programmes.
Xiaoxue Chen, Zuyi Lyu, Junxi Qian
wiley   +1 more source

基于深度学习的髋关节应力分布算法研究

open access: yes智能科学与技术学报, 2019
针对髋关节软骨的应力分布算法研究问题,设计了一个基于深度学习模型来代替有限元分析。该深度学习模型分为无监督学习模块和有监督学习模块,首先使用无监督学习模块对髋关节的软骨和股骨进行形状编码;之后实现对应力分布数据的编码与解码,使得应力数据能够与神经网络相结合;然后通过监督学习,利用编码好的应力数据进行监督,使神经网络学习得到一个从髋关节软骨和股骨的形状码到应力分布的应力码的映射关系;最终得到一个拟合的深度学习模型。此模型能够在一定程度上模拟有限元分析方法,但是由于其平均绝对误差和归一化平均绝对误差比较大 ...
刘远平   +3 more
doaj  

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