Results 81 to 90 of about 2,013 (147)
野生动物学报, 2022 蛇在野外广泛分布,不同种类的蛇具有不同的特性,实现蛇的准确识别对保护生物多样性和促进全球健康具有重要意义。为提高传统神经网络模型在蛇类图像上的识别效果,以中国地区常见蛇种作为研究对象,包括金环蛇(Bungarus fasciatus)、银环蛇(B.multicinctus)、圆斑蝰(Daboia russelli siamensis)、尖吻蝮(Deinagkistrodon acutus)、竹叶青(Trimeresurus stejnegeri)和王锦蛇(Elaphe carinata ...
周志斌 罗志聪 张展榜 孙奇燕
doaj
Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks [PDF]
Land-sea clutter classification is essential for boosting the target positioning accuracy of skywave over-the-horizon radar. This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or ...
Can LI +3 more
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智能科学与技术学报, 2021 空间关联特性的关联因素过于复杂且难以量化等问题导致短时交通流预测过于依赖时间关联特性。针对这一问题，提出一种考虑时空关联的深度学习短时交通流预测方法。首先，通过构建同时考虑距离、车流流量相似性和车流速度相似性的空间关联性度量函数，量化目标路段与周边关联道路间的空间关联性。然后，构建内嵌长短时记忆神经元的卷积神经网络模型，利用长短时记忆神经元提取数据间的时间关联性，利用空间关联性度量值及交通数据的卷积传输提取数据间的空间关联性，以实现同时考虑时空关联性的交通流预测。实验结果表明 ...
张阳, 胡月, 辛东嵘
doaj
Dizhen xuebao首先利用四分量钻孔应变数据独有的自洽特性，构建震前应变特征数据集；之后基于一维卷积神经网络框架，设计地震震级与方位的预测模型；然后通过混淆矩阵计算准确率、召回率以及F1分数，对模型预测结果进行评价与修正；最后对我国西南地区的永胜、昭通、姑咱及腾冲四个台站的钻孔应变特征分别进行训练与验证，并讨论了不同特征窗长对预测效果的影响。训练完成后的模型效果在测试集上均表现优异，四个台站对震级和方位预测的平均准确率分别可达85%和80%左右，说明四分量钻孔应变数据特征与地震的发生有着很强的相关性 ...
Zining Yu +4 more
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Multi-Scale Deepfake Detection Method with Fusion of Spatial Features [PDF]
With the rapid advancement in deep learning, deepfake technology has gained significant momentum as a form of image manipulation based on generative models.
Yiwen ZHANG, Manchun CAI, Yonghao CHEN, Yi ZHU, Lifeng YAO
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Zhendong Ceshi yu Zhenduan为了提高小样本图像条件下列车轮对轴承故障检测水平，提出了一种基于多分辨率孪生神经网络（multi⁃resolution siamese neural network， 简称MrSNN）模型的列车轮对轴承表面缺陷机器视觉检测方法。首先，采用孪生神经网络（siamese neural network， 简称SNN）为基础模型框架，构建了包含不同卷积核尺寸及不同膨胀因子大小的多分辨率卷积融合模块（multi‑resolution convolution fusion block， 简称MrCFB ...
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[Alzheimer's disease classification based on nonlinear high-order features and hypergraph convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Zeng A +8 more
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[Diagnosis of nasopharyngeal carcinoma with convolutional neural network on narrowband imaging]. [PDF]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2023 Weng J +9 more
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[Research on classification method of multimodal magnetic resonance images of Alzheimer's disease based on generalized convolutional neural networks]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Qin Z, Liu Z, Lu Y, Zhu P.
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Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network. [PDF]
Zhong Nan Da Xue Xue Bao Yi Xue Ban, 2022 Su R +6 more
europepmc +1 more source