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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [12]
力学研究所 [2]
心理研究所 [2]
金属研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
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采集方式
OAI收割 [24]
内容类型
期刊论文 [22]
会议论文 [2]
发表日期
2023 [24]
学科主题
天文学 [1]
天文学::恒星与银河... [1]
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浏览/检索结果:
共24条,第1-10条
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存缴方式:oaiharvest
发表日期:2023
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Hierarchical Viewpoint Planning for Complex Surfaces in Industrial Product Inspection
期刊论文
OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 11
作者:
Wang, Shaohu
;
Tong, Yuchuang
;
Shang, Xiuqin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/02/22
Divide-and-conquer strategy
multilevel geometric representation
surface inspection
viewpoint planing
Anisotropic evolutions of the magnetohydrodynamic Richtmyer-Meshkov instability induced by a converging shock
期刊论文
OAI收割
PHYSICAL REVIEW E, 2023, 卷号: 108, 期号: 5, 页码: 12
作者:
Qin JH(秦建华)
;
Dong GD(董国丹)
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/01
An automated optical inspection (AOI) platform for three-dimensional (3D) defects detection on glass micro-optical components (GMOC)
期刊论文
OAI收割
OPTICS COMMUNICATIONS, 2023, 卷号: 545, 页码: 7
作者:
Du, Yinchao
;
Chen, Jiangpeng
;
Zhou, Han
;
Yang, Xiaoling
;
Wang, Zhongqi
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/04
Automated optical inspection
Glass micro -optical components
Defects detection
3D video acquisition
Machine-learning algorithm
Research on Prediction Model of Interlayer Leakage in Separate Injection Wells in Offshore Oilfields
期刊论文
OAI收割
Journal of Physics: Conference Series, 2023, 卷号: 2610, 期号: 1
作者:
Gao,Yonghua
;
Chen,Jie
;
Liu,Lei
;
Bao,Chenyi
;
Liu,Huawei
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/28
Offshore oil field
layered mining
insert seal detection tool
experiment
model prediction
A comparative analysis of type Ia supernovae 2018xx and 2019gbx
期刊论文
OAI收割
ASTRONOMY & ASTROPHYSICS, 2023, 卷号: 675, 页码: 15
作者:
Li, Yangyang
;
Zheng, Sheng
;
Zeng, Xiangyun
;
Wang, Xiaofeng
;
Burke, Jamison
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/14
supernovae: general
supernovae: individual: SN 2018xx
supernovae: individual: SN 2019gbx
A comparative analysis of type Ia supernovae 2018xx and 2019gbx
期刊论文
OAI收割
Astronomy and Astrophysics, 2023, 卷号: 675
作者:
Li, Yangyang
;
Zheng, Sheng
;
Zeng, Xiangyun
;
Wang, Xiaofeng
;
Burke, Jamison
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/07/24
supernovae: general
supernovae: individual: SN 2018xx
supernovae: individual: SN 2019gbx
Central production and local casting: some new perspectives on the mirror industry of the Tang Dynasty from the bronze mirrors excavated in Xi'an city, Shaanxi province, central China
期刊论文
OAI收割
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES, 2023, 卷号: 15, 期号: 7, 页码: 11
作者:
Chen, Dian
;
Wang, Yanpeng
;
Huang, Kejia
;
Luo, Wugan
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/02
Bronze mirror
Manufacture
Lead isotope
Xi'an city
Tang Dynasty
PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence
期刊论文
OAI收割
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2023, 卷号: 107, 页码: 11
作者:
Fu, Lidan
;
Lu, Binchun
;
Tian, Jie
;
Hu, Zhenhua
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Medical image enhancement
Fluorescence imaging
Cycle-consistent generative adversarial
network
No-reference metric
Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 12
作者:
Xu, Gaofei
;
Zhou, Daoxian
;
Yuan, Libiao
;
Guo, Wei
;
Huang, Zepeng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/10/07
autonomous underwater vehicle
subsea exploration
real-time target detection
lightweight convolutional neural network
underwater image enhancement
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:5/0
  |  
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