Results 101 to 110 of about 13,106 (168)
Implicit Modeling Network of Human Keypoints Based on Attention Mechanism [PDF]
Human pose estimation necessitates the use of visual cues and anatomical joint relationships to pinpoint key points. Existing Convolutional Neural Network(CNN) methods falter in addressing long-range contextual cues and modeling dependencies among ...
Jiayuan ZHAO, Yuru ZHANG, Xiaodong SU, Hongyan XU, Shizhou LI, Yurong ZHANG
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Dianxin kexue现有的异质网络表征学习方法主要关注静态网络，忽略了时间属性对节点表示的重要影响。然而，真实的异质信息网络极具动态性，节点和边的微小变化都可能影响整个结构和语义。鉴于此，提出了基于霍克斯过程的动态异质网络表征学习方法。首先，利用关系旋转编码方式和注意力机制，学习相邻节点的注意力系数，获得节点的向量表示。其次，学习不同元路径的最优加权组合以更好捕获网络的结构和语义信息。最后，基于时间衰减效应，通过邻域形成序列将时间特征引入节点表示中，得到节点的最终嵌入表示。在多种基准数据集上的实验结果表明 ...
陈蕾， 邓琨， 刘星妍
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Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large [PDF]
Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. However, the diversity, complexity, and external factors such as lighting conditions pose numerous difficulties and ...
HE Wei-chan, QIN Jing-hui, YANG Zhi-jing
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Zhejiang Daxue xuebao. Lixue banReconstructing hand gestures from ambiguous images caused by rapid hand motion is of great significance. In order to avoid the ambiguity caused by blurred gesture images, this paper proposes an improved approach based on key point perception and window ...
LIAN Yuanfeng(连远锋) +5 more
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Prediction Using KMAKT Integrated with Course Knowledge Graph [PDF]
Most existing deep knowledge tracking models have weak interpretability of knowledge tracking results and overlook the impact of the inherent correlation between exercises and knowledge points on the effectiveness of knowledge tracking and prediction ...
Lianhong WANG, Feipeng LIN, Xiaoyao LI, Guizhi CHEN, Li ZHOU
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Huli yanjiu, 1990 心理护理是临床护理工作的重要组成部分,心理状态的好坏可影响到疾病的转归。愉快和积极的心理状态能增加机体的抗病能力,促进早日恢复健康;消极的思想情绪,会导致机体神经活动紊乱,免疫功能抑制等改变,不利于康复。所以,在临床护理中我们注意做好心理护理,使患者始终处于有利于治疗和康复的最佳心理状态,收到了良好效果。下面介绍我们对九例大面积烧伤病员的心理护理。
畅海芳
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Dianxin kexue对话情绪识别研究主要聚焦于融合对话上下文和说话者建模的相互关系。当前研究通常忽略对话内部存在的依存关系，导致对话的上下文联系不够紧密，说话者之间的关系也缺乏逻辑。因此，提出了一种基于语篇解析和图注意力网络（discourse parsing and graph attention network，DPGAT）的对话情绪识别模型，将对话内部的依存关系融入语境建模过程中，使语境信息更具有依赖性和全局性。首先，通过语篇解析获取对话内部的话语依存关系，构建语篇依存关系图和说话者关系图。随后 ...
郝秀兰1, 魏少华1, 曹乾2, 张雄涛1
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Aspect Level Sentiment Analysis Based on Sentiment-Enhanced and Dual Graph Convolutional Network [PDF]
Aspect Level Sentiment Analysis (ALSA) is designed to detect the sentiment polarity aspect of a given sentence. Most existing studies have reported the construction of Graph Convolutional Networks (GCN) on syntactic dependency trees to obtain syntactic ...
DAI Wei, WANG Fengyu, JI Changpeng
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Shuitu Baochi Xuebao[目的] 针对水力侵蚀对土壤碳循环"源汇"效应争议,综述水力侵蚀对土壤有机碳矿化作用和土壤微生物多样性的影响机制,提出未来定量研究的方向与注意事项。[方法] 在提出水力侵蚀对土壤碳循环"源""汇"效应概念和理论的基础上,分析现阶段研究中水力侵蚀对土壤碳循环"源汇"效应争议的核心问题,进而探讨水力侵蚀导致不同种类土壤微生物多样性变化的差异及其作用机制。[结果] 水力侵蚀过程导致土壤有机碳矿化作用形成碳循环中的"源"效应,而沉积过程导致有机碳迁移至低洼处固存形成碳循环中的"汇"效应 ...
杨文博, 刘娜, 蔡强国, 孙莉英
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Zhendong Ceshi yu Zhenduan针对传统一维轴承振动信号特征表达效果较弱、轴承故障数据时频特征提取困难及其诊断精度较低等问题，提出一种基于小波变换与注意力机制网络（wavelet transform and attention mechanism net，简称WTA‑Net）的轻量化轴承故障诊断方法。首先，通过小波变换将滚动轴承的一维振动时序信号转化为二维时频图；其次，针对网络训练时梯度消失的问题，提出改进的轻量化骨干网络R‑ResNet18提取二维时频图特征；然后，在网络不同尺度的特征层嵌入时空注意力机制（convolutional
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