中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

兰州理工大学 [39]

内容类型

期刊论文 [32]

会议论文 [7]

发表日期

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共39条，第1-10条

帮助

限定条件	专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

已选(0)清除条数/页：排序方式：
	ResLNet: deep residual LSTM network with longer input for action recognition 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 6 作者: Wang, Tian; Li, Jiakun; Wu, Huai-Ning; Li, Ce; Snoussi, Hichem 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/03/01 action recognition deep learning neural network
	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：37/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202 作者: Du, Xianjun; Jia, Wenchao; Yu, Ping; Shi, Yaoke; Cheng, Shengyi 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/09/22 Convolution Forecasting Preventive maintenance Rotating machinery Vibrations (mechanical) Wavelet transforms Attention mechanisms Continuous Wavelet Transform Convolutional neural network Degradation trend Feature map Remaining useful life predictions Rolling bearings Spectral feature Time frequency Time–frequency spectral feature map
	Membrane fouling diagnosis of membrane components based on multi-feature information fusion 期刊论文 JOURNAL OF MEMBRANE SCIENCE, 2022, 卷号: 657 作者: Shi, Yaoke; Wang, Zhiwen; Du, Xianjun; Gong, Bin; Lu, Yanrong 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/07/19 MBR CBAM-MUL-CNN Feature fusion Attention mechanism Membrane fouling diagnosis
	基于长序列的航空发动机剩余寿命预测方法期刊论文北京航空航天大学学报, 2022, 页码: 1-16 作者: 郭俊锋; 刘国华; 刘国伟收藏 \| 浏览/下载：13/0 \| 提交时间：2022/09/22 堆叠膨胀卷积剩余使用寿命预测 Hyperband超参数优化算法航空发动机长序列信号
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	Research on the membrane fouling diagnosis of MBR membrane module based on ECA-CNN 期刊论文 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2022, 卷号: 10, 期号: 3 作者: Shi, Yaoke; Wang, Zhiwen; Du, Xianjun; Ling, Guobi; Jia, Wenchao 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/06/21 Membrane fouling Convolutional neural network Attention mechanism Feature extraction Fault diagnosis
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	Recognition of weld defects from X-ray images based on improved convolutional neural network 期刊论文 Multimedia Tools and Applications, 2022, 卷号: 81, 期号: 11, 页码: 15085-15102 作者: Hu, Ande; Wu, Lijian; Huang, Jiankang; Fan, Ding; Xu, Zhenya 收藏 \| 浏览/下载：31/0 \| 提交时间：2022/06/20 Chemical activation Convolution Convolutional neural networks Defects Image enhancement Image segmentation Processing Welds Activation functions Convolution neural network Convolutional neural network Exponential linear unit function Exponentials Linear units Pooling Unit functions Weld defects Weld defects recognition
	Fusing Attention Network based on Dilated Convolution for Super Resolution 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2022 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/07/20 Convolution Data mining Filtration Image reconstruction Locks (fasteners) Optical resolving power Quality control Dilated convolutional attention module. Features extraction High-frequency informations Images reconstruction Information filter Multi feature attention block Multifeatures Single super resolution Superresolution

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace