×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [8]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2022 [1]
2021 [1]
2020 [2]
2019 [4]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共8条,第1-8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:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Method to enhance deep learning fault diagnosis by generating adversarial samples
期刊论文
Applied Soft Computing, 2022, 卷号: 116
作者:
Cao, Jie
;
Ma, Jialin
;
Huang, Dailin
;
Yu, Ping
;
Wang, Jinhua
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/21
Accident prevention
Complex networks
Convolutional neural networks
Fault detection
Generative adversarial networks
Machinery
Recurrent neural networks
Signal to noise ratio
Adversarial-signal generative adversarial network
Convolutional neural network
Fault diagnosis method
Faults diagnosis
Industrial fields
Learning models
Mechanical equipment
Multilayers perceptrons
Original sample
Three models
Fine-grained image inpainting with scale-enhanced generative adversarial network
期刊论文
PATTERN RECOGNITION LETTERS, 2021, 卷号: 143, 页码: 81-87
作者:
Liu, Weirong
;
Cao, Chengrui
;
Liu, Jie
;
Ren, Chenwen
;
Wei, Yulin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/04/12
Generative adversarial networks
Fine-grained constraint
Edge loss
Speech enhancement method based on SI-SDR optimization generative adver-sarial network
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 卷号: 48, 期号: 11, 页码: 17-23
作者:
Cao, Jie
;
Zhou, Yaofeng
;
Yu, Hong
;
Li, Xiaoxu
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/17
Signal to noise ratio
Speech enhancement
Adversarial networks
Auditory quality
Baseline methods
Difference values
Low signal-to-noise ratio
Scale invariant
Signal-to-distortion ratios
Speech enhancement methods
深度学习在故障诊断与预测中的应用
期刊论文
计算机工程与应用, 2020, 卷号: 56, 期号: 03, 页码: 1-18
作者:
余萍
;
曹洁
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/06/10
深度学习
特征提取
故障诊断
故障预测
A loss with mixed penalty for speech enhancement generative adversarial network
会议论文
Lanzhou, China, November 18, 2019 - November 21, 2019
作者:
Cao, Jie
;
Zhou, Yaofeng
;
Yu, Hong
;
Li, Xiaoxu
;
Wang, Dan
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Speech enhancement
Adversarial networks
First-order statistics
Least Square
Loss functions
Objective and subjective evaluations
Phase mismatch
Speech enhancement methods
Vanishing gradient
A Material Visual Features Mapping Algorithm With Natural Scene Image Objects
期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2019, 卷号: 45, 期号: 6, 页码: 1198-1206
作者:
Li, Ce
;
Jia, Sheng-Ze
;
Qu, Yan-Yun
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/11/14
Conformal mapping
Image segmentation
Adversarial networks
Cycle-GAN
Essential features
Feature mapping
High level expression
Mapping algorithms
Natural scene images
Visual feature
Generative adversarial dehaze mapping nets
期刊论文
Pattern Recognition Letters, 2019, 卷号: 119, 页码: 238-244
作者:
Li, Ce
;
Zhao, Xinyu
;
Zhang, Zhaoxiang
;
Du, Shaoyi
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/02/17
Learning algorithms
Light sources
Machine learning
Mapping
Artificial light source
Deep architectures
Effective constraints
GADMN
LMHPM
Multiple light scattering
Relevant features
State-of-the-art methods
Generative adversarial dehaze mapping nets
期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 119, 页码: 238-244
作者:
Li, Ce
;
Zhao, Xinyu
;
Zhang, Zhaoxiang
;
Du, Shaoyi
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
GADMN
Haze-relevant features
Multiple-light scattering model
LMHPM
©版权所有 ©2017 CSpace - Powered by
CSpace