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兰州理工大学 [5]

自动化研究所 [5]

沈阳自动化研究所 [4]

山东大学 [3]

大连理工大学 [2]

光电技术研究所 [2]

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	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
	Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文 JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12 作者: He, Deqiang; Zou, Xueyan; Jin, Zhenzhen; Yan, Jingren; Ren, Chonghui 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/07 intelligent fault diagnosis train bearing improved sooty tern optimization algorithm variational mode decomposition deep convolutional neural network
	受脑启发的多任务域小样本连续学习方法研究学位论文 2023 作者: 商迪收藏 \| 浏览/下载：7/0 \| 提交时间：2023/08/31 连续学习，小样本学习，多任务域学习，类脑计算，目标检测
	Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach 期刊论文 Expert Systems with Applications, 2023, 卷号: 213, 页码: 9 作者: M. L. Bie; Y. Y. Liu; G. N. Li; J. T. Hong and J. Li 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/06/14
	Gravitational Wave Detection Based on Squeeze-and-excitation Shrinkage Networks and Multiple Detector Coherent SNR 期刊论文 RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2022, 卷号: 22, 期号: 11, 页码: 13 作者: Yan, Rui-Qing; Liu, Wei; Yin, Zong-Yao; Ma, Rong; Chen, Si-Ying 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/11/14 methods: data analysis methods: statistical gravitational waves
	Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet 期刊论文 JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2022, 卷号: 26, 期号: 2, 页码: 256-263 作者: Chen, Xiaolei; Chang, Hao; Cao, Baoning; Lu, Yubing; Lin, Dongmei 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/04/21 gated recurrent unit SENet blood pressure prediction pulse information
	PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid 期刊论文 APPLIED INTELLIGENCE, 2021, 页码: 13 作者: Ying, Yao; Zhang, Nengbo; Shan, Peng; Miao, Ligang; Sun, Peng 收藏 \| 浏览/下载：52/0 \| 提交时间：2021/05/06 Activation function Sigmoid Parametric sigmoid Squeeze-and-excitation Convolutional neural network
	A time-frequency channel attention and vectorization network for automatic depression level prediction 期刊论文 Neurocomputing, 2021, 期号: 450, 页码: 208-218 作者: Mingyue Niu; Bin Liu; Jianhua Tao; Qifei Li 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/06/01 Sphere embedding normalization DenseNet Transition layer Time-frequency channel attention block Time-frequency vectorization block Depression detection
	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

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