Results 51 to 60 of about 4,328 (167)
International Journal of Applied Linguistics, EarlyView.ABSTRACT Multilingual students in Anglophone universities often operate in survival mode. While translanguaging supports learning, critical gaps remain in understanding how translanguaging pedagogies transform and sustain motivation in English‐dominant contexts.
Melissa Jufenna Slamet, Julie Choi
wiley +1 more source
中西医结合护理Objective To evaluate the application of refined teaching mode in the teaching of nursing students in the operating room. Methods Totally 40 nursing students who participated in the internship between August 2021 and July 2022 were included as the ...
YIN Bei (尹蓓), QIU Murong (邱慕蓉)
doaj +1 more source
智能科学与技术学报, 2022 轴孔装配是加工制造业常见的一类操作任务。基于工业机器人研究轴孔自动装配，对于机器人在装配领域的应用具有重要价值。对于高精密和形状复杂的零件，高效可靠的轴孔装配仍然具有很大挑战性。基于此，从控制的角度对机器人自动轴孔装配进行了全面梳理。首先，介绍了机器人自动轴孔装配过程。然后，在对基于传统模型的装配控制进行论述的基础上，对新兴的基于学习的智能装配控制进行了讨论，重点阐述了模仿学习和强化学习在机器人自动装配中的应用。传统方法与人工智能方法的结合，将为机器人自动轴孔装配注入新的活力，将成为未来的重要发展趋势。
徐德, 秦方博
doaj +1 more source
, 2019 物联网设备的视频压缩码率和量化参数等编码方案决定着视频质量和物联网设备的使用寿命.针对未知视频传输模型和能量采集模型的物联网设备,提出一种基于强化学习的视频编码方案,能够动态优化视频编码码率和量化参数.该技术根据物联网设备的无线信道带宽、电池水平和采集的能量,结合反馈的视频质量和时延等信息,采用强化学习算法优化选择视频编码码率和量化参数.在动态的网络环境下,物联网设备不需预知视频传输模型就可以综合优化视频质量和设备能量损耗.仿真结果表明,该方案可以提高视频质量,降低设备能量损耗和时延,改善物联网设备效益.
丁钰真 +5 more
core
Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model [PDF]
Focusing on the issues of low efficiency and effectiveness in decision-making as well as the instability of traditional reinforcement learning model-based multi-function radar (MFR) jamming decision algorithms, a prior knowledge embedded long short-term ...
LI Chao +3 more
core +1 more source
Enhanced deep deterministic policy gradient algorithm [PDF]
, 2018 With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and ...
Chao HE +5 more
core +1 more source
Review of Policy Research, Volume 43, Issue 2, March 2026.ABSTRACT This study examines the paradoxical relationship between policy learning and capacity: governments need certain capacities to learn effectively, yet these same capacities often emerge from previous learning experiences. Through a comparative analysis of Hong Kong and Singapore's responses to SARS and COVID‐19, we demonstrate how policy ...
Shubham Sharma, Xun Wu, Gleb Papyshev
wiley +1 more source
大数据新闻推荐系统对新媒体新闻传播有着重要作用。提出了一种以深度强化学习为基础的推荐系统，旨在结合神经网络的表征能力和强化学习的策略选择能力来提升新闻推荐效果。使用动态动作掩码加强对用户短期兴趣的判断能力，使用优化缓存机制提升经验缓存的使用效率，通过区域遮蔽性质的奖励设计加快模型训练，从而提高推荐系统在新闻推荐领域的表现。实验表明，所提模型在新闻数据集上的推荐准确率与主流的神经网络推荐方法相当，且在排序性能上优于当前先进的推荐算法。
董相宏, 安俊秀
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Weaving knowledges to support wildlife health surveillance in Kenya's pastoral rangelands
Conservation Biology, Volume 40, Issue 1, February 2026.Abstract In wildlife–livestock–human interfaces, pathogens capable of spreading between wild and domestic animals and humans have important implications for conservation outcomes, economics, and public health. Robust wildlife health surveillance can help address these risks.
Brock Bersaglio +4 more
wiley +1 more source
International Journal of Applied Linguistics, Volume 36, Issue 1, Page 393-408, February 2026.ABSTRACT Acknowledging the limitations of existing measurement instruments in adequately capturing the distinct cognitive processes (e.g., form‐focused vs. meaning‐focused) involved in informal digital learning of English (IDLE), this paper asserts a pressing need to develop and validate robust instruments that measure form‐focused and meaning‐focused ...
Minlin Zou +3 more
wiley +1 more source