×
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
湖南大学 [16]
武汉大学 [3]
大连化学物理研究所 [1]
复旦大学上海医学院 [1]
内容类型
期刊论文 [21]
发表日期
2019 [21]
×
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21条,第1-10条
帮助
限定条件
发表日期:2019
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
Three-dimensionally hierarchical MoS2/graphene architecture for high-performance hydrogen evolution reaction
期刊论文
NANO ENERGY, 2019, 卷号: 61, 页码: 611-616
作者:
Meng, Xiangyu
;
Yu, Liang
;
Ma, Chao
;
Nan, Bing
;
Si, Rui
收藏
  |  
浏览/下载:104/0
  |  
提交时间:2019/12/02
MoS2
Graphene
Hydrogen evolution reaction
Non-precious metal catalyst
Hetero-atom doping
Homologous recombination DNA repair defects in PALB2-associated breast cancers
期刊论文
NPJ BREAST CANCER, 2019, 卷号: 5
作者:
Li, Anqi
;
Geyer, Felipe C.
;
Blecua, Pedro
;
Lee, Ju Youn
;
Selenica, Pier
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/12/05
China's provincial energy-related carbon emissions-economy nexus: A two-stage framework based on decoupling analysis and panel vector autoregression
期刊论文
ENERGY SCIENCE & ENGINEERING, 2019, 卷号: 7, 期号: 4
作者:
Pan, Wu-Lin
;
Pan, Wei
;
Liu, Shan
;
Tsai, Sang-Bing
;
Hu, Cheng
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
carbon emissions
China
decoupling
energy economics
turning point
China's provincial energy-related carbon emissions-economy nexus: A two-stage framework based on decoupling analysis and panel vector autoregression
期刊论文
ENERGY SCIENCE & ENGINEERING, 2019, 卷号: 7, 期号: 4
作者:
Pan, Wu-Lin
;
Pan, Wei
;
Liu, Shan
;
Tsai, Sang-Bing
;
Hu, Cheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
carbon emissions
China
decoupling
energy economics
turning point
China's provincial energy-related carbon emissions-economy nexus: A two-stage framework based on decoupling analysis and panel vector autoregression (Open Access)
期刊论文
Energy Science and Engineering, 2019, 卷号: 7, 期号: 4
作者:
Pan, Wu-Lin
;
Pan, Wei
;
Liu, Shan
;
Tsai, Sang-Bing
;
Hu, Cheng
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Tu, Bing
;
Zhang, Xiaofei
;
Kang, Xudong
;
Zhang, Guoyun
;
Li, Shutao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/13
Clustering algorithms
Density peak (DP) clustering
hyperspectral image (HSI)
Hyperspectral imaging
Labeling
Noise measurement
noisy label detection
Support vector machines
support vector machines (SVMs)
Training
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Bing Tu
;
Xiaofei Zhang
;
Xudong Kang
;
Guoyun Zhang
;
Shutao Li
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/13
Noise measurement
Training
Clustering algorithms
Hyperspectral imaging
Labeling
Support vector machines
Density peak (DP) clustering
hyperspectral image (HSI)
noisy label detection
support vector machines (SVMs)
Three-dimensionally hierarchical MoS/graphene architecture for high-performance hydrogen evolution reaction
期刊论文
Nano Energy, 2019, 卷号: Vol.61, 页码: 611-616
作者:
Xiangyu Meng
;
Liang Yu
;
Chao Ma
;
Bing Nan
;
Rui Si
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
MoS2
Graphene
Hydrogen evolution reaction
Non-precious metal catalyst
Hetero-atom doping
Hyperspectral image classification with a class-dependent spatial–spectral mixed metric
期刊论文
Pattern Recognition Letters, 2019
作者:
Bing Tu
;
Nanying Li
;
Leyuan Fang
;
Xianchang Yang
;
Jianhui Wu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/13
Hyperspectral
image
spectral
angle
mapper
spectral
information
divergence
joint
sparse
representation
superpixel
local
mean-based
nearest
neighbors
Multiple convolutional layers fusion framework for hyperspectral image classification
期刊论文
Neurocomputing, 2019, 卷号: Vol.339, 页码: 149-160
作者:
Guangzhe Zhao
;
Guangyun Liu
;
Leyuan Fang
;
Bing Tu
;
Pedram Ghamisi
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/13
Hyperspectral image classification
Convolutional neural network
Multiple convolutional layers fusion
Side output decision fusion
Fully convolutional layer fusion
©版权所有 ©2017 CSpace - Powered by
CSpace