Results 51 to 60 of about 4,121,604 (159)
Rare Metals, Volume 45, Issue 2, February 2026.ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
wiley +1 more source
Dizhen xuebao2023年中国建成了全球规模最大的地震预警网，预警网中的台站配置了速度计、加速度计、简易烈度计（MEMS）等多种地震仪器。目前用于深度学习模型训练的数据集主要由速度计数据组成，不同类型仪器记录的数据在处理时精度会下降。为了解决这一问题，本文使用Yu等（2023）发布的BRNN模型作为预训练模型；然后使用2万6 739条人工标注的四川地区的速度计、加速度计和MEMS数据进行迁移学习。实验结果表明：迁移学习显著提升了模型对加速度计和MEMS预警仪器数据记录到的Pg，Sg震相的检测精度 ...
Yuqi Cai +6 more
doaj +1 more source
Rare Metals, Volume 45, Issue 1, January 2026.ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source
International Journal of Urban and Regional Research, Volume 50, Issue 1, Page 191-220, January 2026.Abstract Henry George advocated for capturing land value increases for public ends. The active approach of public authorities organizing and financing land development can help capture higher land value increases, as Hartman and Spit indicate. However, this approach hardly happens in developing countries, where the coalition of private developers and ...
Nannan Xu
wiley +1 more source
, 2018 深度学习是机器学习研究中的一个新领域,其动机在干建立、模拟人脑进行分析学习的神经网络,它模仿人脑的机制来解释数据,是机器学习中一种基于对数据进行表征学习的方法。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征 ...
罗海波, 唐延东
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New Directions for Child and Adolescent Development, Volume 2026, Issue 1, 2026.Background Working memory updating is crucial in bilingual children′s second language (L2) reading comprehension. A robust updating ability is a cognitive key for children to successfully master L2 reading comprehension. Objective This study is aimed at investigating the effect of updating ability on the L2 Chinese reading comprehension among Uyghur ...
Guangxin Li +3 more
wiley +1 more source
International Journal of Applied Linguistics, Volume 35, Issue 4, Page 2063-2077, November 2025.ABSTRACT Despite the efforts devoted to improving L2 writing pedagogy to promote student writing development, students’ dissatisfactory writing development and outcomes are still reported. Investigating student learning preparedness to navigate L2 writing curriculum transitions may generate new understandings and provide an alternative explanation for ...
Yu Zhou, Shulin Yu
wiley +1 more source
Policy &Internet, Volume 17, Issue 3, September 2025.ABSTRACT Moderating harmful and offensive content on social media is challenging for digital platforms that seek to balance regulation and censorship across a diverse user group. It is further complicated by discrepancies between platform policies, user expectations and user experiences.
Asher Flynn +4 more
wiley +1 more source
, 2018 在目标识别中，黎曼流形理论有着广泛应用。目标之间的联系，有时可以把它们在几何上的简单视觉特征放到某种流形上来观测，进而大大简化了分类和识别的难度。近年来，深度学习方法凭借其强大的非线性计算能力在目标识别领域取得了突破性的进展。深度学习方法通过一系列的几何变换，可以对图像提取到良好的抽象特征。本文主要将黎曼流形与深度学习相结合，从流形的角度入手，来提高深度学习的识别能力和学习效率 ...
刘天赐, 史泽林, 刘云鹏
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, 2023 本发明公开了一种基于深度学习的气藏开发规律预测方法及系统，其特征在于，包括以下步骤：步骤S1、基于开发主控特征对气藏井进行分类为多个气藏类型；步骤S2、通过数据前处理依次在每个类型的气藏井中获取时间序列数据集；步骤S3、基于长短期记忆神经网络模型，通过模型训练与优化，分别设计气井稳产期生产动态预测模型和气井递减期生产动态预测模型；步骤S4、基于Python研制气井开发规律深度学习预测模块，基于预测的气藏井未来的生产动态总结出开发规律。本发明实现基于大数据分析的气藏分类及主控因素分析方法 ...
高大鹏
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