中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [17]
兰州化学物理研究所 [14]
水土保持研究所 [12]
高能物理研究所 [9]
化学研究所 [8]
声学研究所 [7]
更多
采集方式
OAI收割 [118]
iSwitch采集 [9]
内容类型
期刊论文 [117]
会议论文 [8]
专利 [2]
发表日期
2024 [1]
2023 [8]
2022 [8]
2021 [12]
2020 [7]
2019 [2]
更多
学科主题
材料科学与物理化学 [14]
Genetics &... [2]
Biochemist... [1]
Chemistry;... [1]
Engineerin... [1]
Linaqu@263... [1]
更多
筛选
浏览/检索结果:
共127条,第1-10条
帮助
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
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model
期刊论文
OAI收割
CELL RESEARCH, 2024, 页码: 16
作者:
Yang, Xiaodong
;
Liu, Guole
;
Feng, Guihai
;
Bu, Dechao
;
Wang, Pengfei
  |  
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2024/12/06
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:
Tong, Lina
;
Liu, Dai-Song
;
Peng, Liang
;
Hao, Hong-Lin
;
Wang, Chen
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/21
Bradykinesia grade
inertial sensors
Parkinson's disease (PD)
temporal convolutional network (TCN)
wearable device
A Graded Assessment System for Parkinson's Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:
Tong, Lina
;
Liu, Dai-Song
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/05/30
Bradykinesia grade
inertial sensors
Parkinson's disease (PD)
temporal convolutional network (TCN)
wearable device
Biocompatible Ferrofluid-Based Millirobot for Tumor Photothermal Therapy in Near-Infrared-II Window
期刊论文
OAI收割
ADVANCED HEALTHCARE MATERIALS, 2023, 页码: 12
作者:
Ji, Yiming
;
Bai, Xue
;
Sun, Hongyan
;
Wang, Luyao
;
Gan, Chunyuan
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/02/22
ferrofluid robots
biocompatibility
targeted therapy
A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
OAI收割
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
Ion-Diffusion Management Enables All-Interface Defect Passivation of Perovskite Solar Cells
期刊论文
OAI收割
ADVANCED MATERIALS, 2023, 页码: 10
作者:
Shen, Lina
;
Song, Peiquan
;
Zheng, Lingfang
;
Wang, Lipeng
;
Zhang, Xiaguang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/01/08
defect passivation
ion diffusion
perovskite solar cells
voltage loss
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:
Tong, Lina
;
Zhang, Mingjia
;
Ma, Hanghang
;
Wang, Chen
;
Peng, Liang
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/11/17
Sensors
Muscles
Inspection
Coal mining
Robots
Feature extraction
Gesture recognition
Coal mine inspection manipulator
gestures recognition
multistream convolutional neural network (CNN)
surface electromyography (sEMG)
time--frequency graph feature
High-throughput investigation of Nb and Ta alloying effects on the microstructure and properties of a novel Ni-Co-based superalloy
期刊论文
OAI收割
SCRIPTA MATERIALIA, 2023, 卷号: 226, 页码: 7
作者:
Zhu, Lilong
;
Yu, Xin
;
Li, Weifu
;
Zhang, Lina
  |  
收藏
  |  
浏览/下载:128/0
  |  
提交时间:2023/02/22
Superalloy
Multi -component diffusion multiple (MCDM)
Precipitation
Microstructure
Hardness
A Collaborative Robot Torque Prediction Method Based on CNN-TCN Model
会议论文
OAI收割
Datong, China, July 17-20, 2023
作者:
Lina Tong
;
Decheng Cui
;
Chen Wang
;
Liang Peng
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/06/21
High-throughput characterization methods for Ni-based superalloys and phase prediction via deep learning
期刊论文
OAI收割
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 卷号: 21, 页码: 1984-1997
作者:
Qin, Zijun
;
Li, Weifu
;
Wang, Zi
;
Pan, Junlong
;
Wang, Zexin
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/12/27
Superalloy
Diffusion-multiple
Deep learning
High-throughput
Powder metallurgy