Results 31 to 40 of about 3,936 (116)
He jishu随着高能核物理研究进入多维度、高复杂度数据分析阶段，深度学习技术正逐步成为理解极端条件下核物质行为的关键工具，并推动研究范式从经验驱动向数据驱动的根本转变。本文简要梳理了机器学习在该领域的演进，并着重介绍了深度学习方法在其中的前沿进展：早期（20世纪末至21世纪10年代）研究主要采用人工神经网络和支持向量机等传统算法，通过核质量预测、相变识别等任务验证了机器学习处理核物理问题的可行性，但受限于人工特征提取和计算能力的制约，尚未触及物理特征的自主挖掘；深度学习时代（21世纪10年代至今 ...
张 靖宗 +4 more
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Gongye shui chuli, 2022 膜生物反应器（MBR）作为一种新型废水处理技术在污水处理方面具有广阔的应用前景。但是，膜污染是制约MBR进一步发展的瓶颈性问题。近年来，随着数学算法及计算机技术的发展，将人工神经网络（ANN）等机器学习算法应用于MBR的膜污染预测成为研究的热点。总结了膜污染的影响因素，探讨了基于经典数学模型膜污染预测的优缺点，综述了近年来国内外学者运用简单ANN、优化算法ANN和深度学习ANN对MBR膜污染预测的研究，提出优化算法ANN与深度学习ANN在面对复杂环境下更具优势。此外 ...
张浩良 +4 more
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Microstructure Engineering Toward High Cost‐Effective Nd–Fe–B Sintered Magnets: A Review
Rare Metals, Volume 45, Issue 7, July 2026.ABSTRACT Nd–Fe–B sintered magnets, critical for enhancing electromechanical conversion efficiency and operational stability in wind turbines and electric vehicle drives, are prized for their outstanding coercivity, high remanence, and superior maximum energy product.
Dongmin Zhang +5 more
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Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2123-2134, July 2026.Abstract Elliptic Fourier analysis (EFA) is often employed in geometric morphometrics (GM), but the normalization of elliptic Fourier descriptor (EFD) has persistently posed challenges for obtaining unique and comparable results, especially in the application of outline‐based GM methods, which limits the implementation in automated analysis of numerous,
Hui Wu +6 more
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From Clueless to Confident: How ChatGPT Transforms Academic Writing in Chinese as a Second Language
International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1235-1251, May 2026.ABSTRACT Generative artificial intelligence (GenAI) has demonstrated its potential to enhance the quality of second‐language (L2) academic writing. This study used a qualitative approach comprising analysis of ChatGPT usage‐history screenshots, written assignments, and semi‐structured interview data on students’ use of GenAI in their L2 Chinese ...
Lanfang Sun +4 more
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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
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Attainment Pairing Effects on Cognitive Conflict in Technology‐enhanced EFL Cooperative Tasks
International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1594-1605, May 2026.ABSTRACT This study examines how attainment pairing (high‐high versus high‐low versus low‐low attainment) impacts English as a Foreign Language (EFL) learner engagement during technology‐enhanced cooperative writing tasks. Seventy‐eight Chinese university learners formed 39 dyads (13 pairs per group) via Tencent Meeting.
Ying Liu, Allen Thurston
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智能科学与技术学报, 2021 随着深度学习技术的突破和大型数据集的提出，行人轨迹预测的准确度已经成为人工智能领域的研究热点之一。主要对行人轨迹预测的技术分类和研究现状进行详细的综述。根据模型建模方式的不同，将现有方法分为基于浅层学习的轨迹预测方法和基于深度学习的轨迹预测方法，分析了每类方法中具有代表性的算法的效果及优缺点，归纳了当前主流的轨迹预测公开数据集，并在数据集中对比了主流轨迹预测方法的性能，最后对轨迹预测技术面临的挑战与发展趋势进行了展望。
李琳辉, 周彬, 任威威, 连静
doaj
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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