中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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金属研究所 [42]
昆明植物研究所 [42]
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期刊论文 [264]
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Soil Heavy Metals for Sustainable Risk Management: A Systematic Review and a Context-Aware Method Selection Framework
期刊论文
OAI收割
SUSTAINABILITY, 2026, 卷号: 18, 期号: 4, 页码: 1893
作者:
Yang, Leqi
;
Yue, Tianxiang
;
Ma, Maohua
  |  
收藏
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浏览/下载:0/0
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提交时间:2026/04/16
soil heavy metals
spatial interpolation
sustainable land management
precision environmental monitoring
method selection
context diagnosis
decision support tool
uncertainty
geostatistics
machine learning
Numerical and experimental analysis of defects control in cross wedge rolling for titanium alloy workpieces
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 卷号: 134, 期号: 7-8, 页码: 3829-3843
作者:
Shi, Mingjie
;
Cheng, Ming
;
Liu, Jiaxu
;
Chen, Shuaifeng
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收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/04/27
Tool parameters
Wedge shape
Flat cross wedge rolling
Titanium alloy
Necking
Numerical and experimental analysis of defects control in cross wedge rolling for titanium alloy workpieces
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 卷号: 134, 期号: 7-8, 页码: 3829-3843
作者:
Shi, Mingjie
;
Cheng, Ming
;
Liu, Jiaxu
;
Chen, Shuaifeng
;
Zhang, Shihong
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/04/27
Tool parameters
Wedge shape
Flat cross wedge rolling
Titanium alloy
Necking
Deep convolutional neural network based on self-distillation for tool wear recognition
期刊论文
OAI收割
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:
Pan, Yi
;
Hao, Ling
;
He, Jianliang
;
Ding, Kun
;
Yu, Qiang
  |  
收藏
  |  
浏览/下载:85/0
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提交时间:2024/03/27
Tool fault diagnosis
Mobile inspection robots
Self-distillation
Industry 4.0
Deep learning
ToolBot: Learning Oriented Keypoints for Tool Usage From Self-Supervision
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 卷号: 20, 期号: 1, 页码: 723-731
作者:
Wei, Junhang
;
Hao, Peng
;
Wang, Shuo
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2024/07/03
Data-efficient robot learning
self-superv ision
tool usage
visuomotor policy
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 11, 页码: 4112-4125
作者:
Zhu, Zhenhua
;
Sun, Hanbo
;
Xie, Tongxin
;
Zhu, Yu
;
Dai, Guohao
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收藏
  |  
浏览/下载:41/0
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提交时间:2024/05/20
Computational modeling
Computer architecture
Integrated circuit modeling
Scheduling
Hardware
Memristors
Convolutional neural networks
Hardware modeling tool
processing-in-memory (PIM)
software-hardware co-optimization
Effects of rare earth addition and service mode on surface integrity evolution of high-end machine tool spindle bearings under service
期刊论文
OAI收割
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2023, 卷号: 27, 页码: 2814-2821
作者:
Gao, Bo
;
Liu, Yang
;
Chen, Xiangjun
;
Han, Zimo
;
Xu, Xinyu
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收藏
  |  
浏览/下载:26/0
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提交时间:2024/01/07
High-end machine tool spindle bearing
Surface integrity
Rolling contact fatigue
Benchtop test
Field service
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
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收藏
  |  
浏览/下载:52/0
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提交时间:2023/11/28
Offshore oil field
layered mining
insert seal detection tool
experiment
model prediction
Physics-Guided Deep Learning Method for Tool Condition Monitoring in Smart Machining System
期刊论文
OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023
作者:
Li, Shenshen
;
Lin, Xin
;
Shi, Hu
;
Shi, Yungao
;
Zhu, Kunpeng
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2023/11/17
Deep learning
physics-guided data model
tool condition monitoring
Effect of milling parameters on machinability of SA508-3 steel in high-speed milling with uncoated and coated carbide tools
期刊论文
OAI收割
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2023, 页码: 15
作者:
Wang, Qinqiang
;
Zhao, Yong
;
Zhu, Xu
;
Zhang, Jinlong
;
Wei, Zhaocheng
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2024/01/08
SA508-3 steel
high-speed milling
tool life
tool wear
surface quality