Results 41 to 50 of about 4,121,604 (159)
Rare 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
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Rare 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
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, 2020 最近几年，随着互联网技术的飞速发展、软硬件技术的提升，网络课程慢慢步入人们的视野，让知识以更为开放,更为便捷的方式传播。现在已经到了信息时代，网络课程已经成为了不可或缺的一个重要部分。然而高度信息化的知识经济时代已经不仅仅要求学习者对知识的广泛程度，更要求学习者对复杂的知识内容能够深度理解，合理加工，构建自己独特的知识体系，并能够将理论运用于实践，有效的解决现实问题。当今，深度学习不仅逐步成为一种重要的学习理念，更是一种有效的学习方式，它可以让学习者更加效率，更加深刻的学习 ...
Li, Pei
core
, 2019 目标跟踪是利用一个视频或图像序列的上下文信息,对目标的外观和运动信息进行建模,从而对目标运动状态进行预测并标定目标位置的一种技术,是计算机视觉的一个重要基础问题,具有重要的理论研究意义和应用价值,在智能视频监控系统、智能人机交互、智能交通和视觉导航系统等方面具有广泛应用。大数据时代的到来及深度学习方法的出现,为目标跟踪的研究提供了新的契机。本文首先阐述了目标跟踪的基本研究框架,从观测模型的角度对现有目标跟踪的历史进行回顾,指出深度学习为获得更为鲁棒的观测模型提供了可能;进而从深度判别模型 ...
李玺 +7 more
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, 2005 网络学习是近年逐渐兴起的一种崭新的教学模式,通过自编问卷对北京某网校中小学生网络学习的认知态度进行系统的调查分析,对290份有效问卷分析表明:①中小学生对网络学习的满意度处于中等偏上水平,在学习氛围、网校特性和资源可利用性三个维度上满意度较高; ②不同年级、上网学习网络课程时间的长短对学生网络学习满意度有显著影响; ③该网校的界面设计基本能满足学生的需求 ...
周荣刚 +4 more
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Methods 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
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Gaoya 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
Conservation 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
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, 2020 生态资源是人类生存发展和自我实现的重要物质基础,对其进行深入全面的研究和理解关系到人类社会的可持续发展.随着观测技术的进步,长时间、跨尺度、海量异构多源数据的获取能力得到了显著提升,生态资源研究进入了数据驱动的新时代.传统的统计学习和机器学习算法在海量数据面前存在饱和问题.深度学习作为高维非线性复杂特征自动提取的新手段,对海量数据具有不饱和性,正成为学界和工业界数据处理的新引擎.为推动深度学习在生态资源领域的应用,文章首先介绍了深度学习的理论与生态资源研究的联系,以及常用工具和数据集.其次,通过物种识别、
金时超 +11 more
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People 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
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