Results 91 to 100 of about 2,013 (147)
Zhendong Ceshi yu Zhenduan针对实车旋转车轮动平衡状态难以实时监测及预判的问题，提出了一种融合注意力机制的抗噪一维卷积神经网络（noise resistant 1D convolutional neural network， 简称NRCNN）的旋转车轮动平衡健康状态监测方法。首先，构建NRCNN模型，以在实车车轮上添加3种不同质量平衡块的方式获得3种不同速度下对应的旋转车轮动不平衡状态下的振动信息；其次，以高斯白噪声为噪声输入，对所测旋转车轮不同动平衡状态的振动信息进行处理，获得试验样本数据，并用其进行模型训练；然后 ...
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Dianxin kexue现有基于深度学习的调制识别在训练阶段需要大量IQ信号样本，而复杂电磁环境中很难获取大量样本，导致基于深度学习的调制识别算法泛化性能下降。针对网络泛化能力差的问题，提出了一种基于信号增强的调制识别（signal enhancement based modulation recognition，SEBMR）算法。首先，设计了捕获IQ信号全局特征的特征提取及重构模块；其次，提出了基于辅助分类生成对抗网络（auxiliary classifier generative adversarial network ...
程风云, 周金
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[Atrial fibrillation diagnosis algorithm based on improved convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2021 Pu Y, Zhu J, Zhang D, Yan T.
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[A protein complex recognition method based on spatial-temporal graph convolution neural network]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2022 Sheng J, Xue J, Li P, Yi N.
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[Automatic anatomical site recognition of laryngoscopic images using convolutional neural network]. [PDF]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2023 Wang M +7 more
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[A multi-channel input convolutional neural network for artifact reduction in quantitative susceptibility mapping]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2022 Si W, Feng Y.
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The wave equation is an important physical partial differential equation, and in recent years, deep learning has shown promise in accelerating or replacing traditional numerical methods for solving it.
Deng, Xiao-Gang +4 more
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[Research on inversion method of intravascular blood flow velocity based on convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Wang Y, Yang D, Xu B, Zhang X, Wang X.
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基于CTGAN-CRS与改进卷积神经网络的变压器故障诊断方法
Gaoya dianqi为了提升油中溶解气体数据不平衡场景下的电力变压器故障诊断性能，文中提出了一种基于数据增强与特征扩增结合卷积神经网络进行变压器故障诊断的方法。首先，建立一种基于条件式表格生成对抗网络（conditional tabular generative adversarial network，CTGAN）结合级联式拒绝采样（cascade reject sampling，CRS）的数据增强方法，以实现不平衡数据集的高质量均衡化；其次，构建了一种全类型气体比值结合随机森林算法（gas ratios and ...
阎对丰 +4 more
doaj
[CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Liu Y +11 more
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