Results 31 to 40 of about 4,121,604 (159)
Vocabulary Strategy Instruction in the Argentine EFL Context: Teachers’ Perspectives and Practices
International Journal of Applied Linguistics, EarlyView.ABSTRACT Despite extensive research on vocabulary strategy instruction (VSI), little has been known about teachers’ perspectives on how it is understood and implemented in practice. This study investigated Argentinian EFL teachers’ priorities in vocabulary instruction, their perceived knowledge of learner strategies for spoken vocabulary, and factors ...
Isobel Kai‐Hui Wang, Andrew D. Cohen
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, 2023 低温传感器数据以及深度学习算法THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
liu, H (via Mendeley Data)
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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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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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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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, 2019 针对电力负荷预测中存在的随机性、不确定性的问题,结合深度学习算法具有很强的自适应感知能力等特点,采用目前较为主流的深度学习方法,如长短时记忆(LSTM)网络、门循环单元(GRU)神经网络和栈式自编码器(SAE),分别研究其应用于电力负荷预测时的效果。研究发现,将历史负荷数据作为三种深度学习预测模型的输入时,三种预测模型的负荷预测精度指标评估结果各有不同。因此,为了全面评估三种预测模型的预测效果,提出将不同时间段内的相同历史负荷数据作为预测模型输入对比各模型的负荷预测精度,从中找出最佳的预测模型 ...
张建寰, 吉莹, 陈立东
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智能科学与技术学报, 2022 以机器人为代表的自主智能体系统在工业、服务业等众多领域具有广泛的应用前景和重要的应用价值，但现有自主智能体系统在运动灵巧性、感知信息的完备性、复杂任务和环境的适应性等方面都面临巨大的挑战，难以在开放环境下像人一样灵巧、精准地完成各种复杂操作。而随着以深度学习、深度强化学习为代表的人工智能技术的成功，以操作技能学习为核心的理论研究成为突破自主智能体精准灵巧操作的重要方向，在汲取、融汇联结主义和符号主义的思想精华后构建的操作技能学习框架有望取代传统的示教编程、手工编程模式，以自主学习 ...
王硕
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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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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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先天综合判断观照下的深度增强学习:以AlphaGo Zero为例 [PDF]
, 2019 深度增强学习的出现引发了诸多关于人类思维与人工智能的思考。AlphaGo Zero的深度增强学习促使我们分析机器拥有先天综合知识的可能性。康德的先验感性综合理论对深度增强学习的观照体现在计算机的数学基础上,其感性纯直观中关于时间的部分与纯数学中的代数相对应,而二进制运算的过程体现了先天与经验的综合。先验知性综合理论对深度增强学习的观照体现于AlphaGo Zero围棋技能的获得过程。知性综合判断分为从简单到复杂的三个阶段,分别对应深度增强学习算法运行时由基础到综合的决策过程 ...
郑炳楠, 贺威
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