×
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 [7]
内容类型
期刊论文 [6]
会议论文 [1]
发表日期
2022 [1]
2021 [2]
2020 [2]
2019 [1]
2017 [1]
×
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7条,第1-7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:10/0
  |  
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
Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 108992-109003
作者:
Zhou, Aimin
;
Liu, Hongbin
;
Zhang, Shutao
;
Ouyang, Jinyan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/10/14
Licenses
Convolution
Predictive models
Generative adversarial networks
Training
Task analysis
Kernel
Aesthetic evaluation
aesthetic design
product form
deep learning
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:10/0
  |  
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
Multi-negative samples with Generative Adversarial Networks for image retrieval
期刊论文
Neurocomputing, 2020, 卷号: 394, 页码: 146-157
作者:
Li, Ruifan
;
Zhang, Xuesen
;
Chen, Guang
;
Mao, Yuzhao
;
Wang, Xiaojie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Deep neural networks
Knowledge representation
Adversarial networks
Image representations
Labeled images
Negative samples
Neighborhood structure
Random sampling
Semi-supervised
Virtual images
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
Generative Adversarial Mapping Nets with Multi-layer Perception for Image Dehazing
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2017, 卷号: 29, 期号: 10, 页码: 1835-1843
作者:
Li, Ce
;
Zhao, Xinyu
;
Xiao, Limei
;
Du, Shaoyi
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Mapping
Adversarial learning
Discriminative networks
Generative adversarial mapping nets
Multi-layer perception
Multilevels
Single image dehazing
State-of-the-art methods
The haze related features
©版权所有 ©2017 CSpace - Powered by
CSpace