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浏览/检索结果: 共10条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion 期刊论文 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 21 作者:  Mao, Yixuan;  Li, Xiaorong;  Duan, Menglan;  Feng, Yongcun;  Wang, Jinjia 收藏  |  浏览/下载：2/0  |  提交时间：2024/04/29 Mooring line anomaly detection  Residual network  Feature fusion  Semi-submersible platform   Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network With Residual Connection 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 31078-31091 作者:  Liang, Haopeng;  Zhao, Xiaoqiang 收藏  |  浏览/下载：21/0  |  提交时间：2021/03/12 Convolution  Fault diagnosis  Feature extraction  Rolling bearings  Vibrations  Kernel  Load modeling  Different load domains  different noisy environments  dilated convolution  one-dimensional convolution neural network  rolling bearing fault diagnosis  residual connection   Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network with Residual Connection 期刊论文 IEEE Access, 2021, 卷号: 9, 页码: 31078-31091 作者:  Liang, Haopeng;  Zhao, Xiaoqiang 收藏  |  浏览/下载：63/0  |  提交时间：2021/04/12 Convolution  Failure analysis  Fault detection  Multilayer neural networks  Time domain analysis  Connection structures  Convolution neural network  Feature learning  Noisy environment  Residual structure  Rolling bearings  Time-domain signal  Weight coefficients   A method for the automatic detection of myopia in Optos fundus images based on deep learning 期刊论文 International Journal for Numerical Methods in Biomedical Engineering, 2021, 卷号: 37, 期号: 6, 页码: 1-15 作者:  Shi, Zhengjin;  Wang, Tianyu;  Huang Z(黄钲);  Xie, Feng;  Song GL(宋国立) 收藏  |  浏览/下载：9/0  |  提交时间：2021/05/10 convolutional neural network  deep learning  image processing  myopia  optometry  Optos fundus image   MD-Net: A multi-scale dense network for retinal vessel segmentation 期刊论文 Biomedical Signal Processing and Control, 2021, 卷号: 70, 页码: 1-12 作者:  Shi, Zhengjin;  Wang, Tianyu;  Huang Z(黄钲) 收藏  |  浏览/下载：4/0  |  提交时间：2021/08/03 Dense multi-level fusion mechanism  Residual atrous spatial pyramid  Retinal vessel segmentation   Outside Box and Contactless Palm Vein Recognition Based on a Wavelet Denoising ResNet 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 82471-82484 作者:  Wu W(吴微);  Wang Q(王强);  Yu SQ(余思泉);  Luo Q(罗琼);  Lin S(林森) 收藏  |  浏览/下载：5/0  |  提交时间：2021/08/03 Veins  Deep learning  Optical imaging  Feature extraction  Optical scattering  Noise reduction  Face recognition  Deep learning  biometrics  palm vein recognition  Resnet  wavelet decomposition  denoise   Automated building extraction using satellite remote sensing imagery 期刊论文 Automation in Construction, 2020, 卷号: 123, 页码: 103509 作者:  QintaoHu;  LiangliZhen;  YaoMao;  XiZhou;  GuozhongZhou 收藏  |  浏览/下载：31/0  |  提交时间：2021/05/11 Remote sensingBuilding extractionUrban planningDigital city construction   Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 7, 页码: 2497-2509 作者:  Li, Cuiping;  Chen, Zhenxue;  Wu, Q. M. Jonathan;  Liu, Chengyun 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/11 Deep saliency  channel-wise feature responses  squeeze-and-excitation-residual network  hierarchical feature  refinement  traffic sign detection   Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection 期刊论文 IEEE Transactions on Intelligent Transportation Systems, 2018 作者:  Li C.;  Chen Z.;  Wu Q.M.J.;  Liu C. 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/11 channel-wise feature responses  Convolutional neural networks  Deep saliency  Feature extraction  hierarchical feature refinement  Image color analysis  Kernel  Saliency detection  Shape  squeeze-and-excitation-residual network  traffic sign detection.  Visualization   Deep saliency detection via channel-wise hierarchical feature responses 期刊论文 NEUROCOMPUTING, 2018, 卷号: 322, 页码: 80-92 作者:  Li, Cuiping;  Chen, Zhenxue;  Wu, Q. M. Jonathan;  Liu, Chengyun 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/11 Saliency detection  Channel-Wise feature responses  Squeeze-and-Excitation-Residual network  Hierarchical feature  refinement  Softmax cross entropy loss