Results 51 to 60 of about 6,061 (205)
Attainment Pairing Effects on Cognitive Conflict in Technology‐enhanced EFL Cooperative Tasks
International Journal of Applied Linguistics, EarlyView.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
wiley +1 more source
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
doaj +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT This study conducted linguistic analyses of the written corrective feedback (WCF) for Chinese as a second language (CSL) provided by chat generative pre‐trained transformer (ChatGPT) and human teachers (including preservice teachers and senior teachers).
Ling Zhang +2 more
wiley +1 more source
Research on Three-dimensional Object Detection from Large-scale Mobile Laser Scanning Point Clouds [PDF]
, 2015 随着激光扫描技术和组合定位定姿技术的不断发展，快速获取大场景三维信息已经成为现实。车载移动激光扫描系统以其独特的系统优势，能够快速获取大范围场景的高密度、高精度以及具有地物三维地理坐标的三维点云数据。车载移动激光扫描系统采用主动式近红外激光测量方式，数据采集任务不受任何环境光照条件的影响，在白天或夜间均可进行场景数据采集。车载移动激光扫描系统及其三维点云数据已被广泛地应用于交通运输、道路规划、道路检修、地图导航、数字城市、文物保护、林业、采矿业、影视动漫以及基础测绘等领域 ...
于永涛
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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
Removing rain from a single image via Convolutional Neural Network [PDF]
, 2016 受恶劣天气的影响，室外视觉系统所获得的图像会劣化。雨是常见的恶劣天气之一，目前国内外关于去雨的问题已有一些解决的方案，但大多关注于视频去雨。由于该类方法是以丰富的时空相关信息为前提，因而并不适用于单幅图像去雨。近年来，单幅图像去雨的研究逐渐受到重视，然而现有方法需要在去雨效果和图像清晰度之间折中且计算效率低下，难以满足实际应用需求。 为此，本文针对单幅图像去雨，基于变分法和卷积神经网络提出三种新的单幅图像去雨算法，主要研究内容及成果如下： 1.提出基于梯度正则化的单幅图像去雨算法 ...
陈丽琴
core
A Review On Table Recognition Based On Deep Learning
, 2023 Table recognition is using the computer to automatically understand the table, to detect the position of the table from the document or picture, and to correctly extract and identify the internal structure and content of the table.
chunqi, Shi, Jiyuan, Shi
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Network and graph-based SpaceTimeAI: conception, method and applications = 基于网络和图的时空智能———概念、方法和应用 [PDF]
, 2022 SpaceTimeAI and GeoAI are currently a hot topic, which apply the latest algorithms in computer science, such as deep learning. Although deep learning algorithms have been successfully applied in raster data processing due to their natural applicability ...
Cheng, T, Haworth, J, Zhang, Y
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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