中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
金属研究所 [2]
生态环境研究中心 [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [6]
发表日期
2025 [2]
2024 [1]
2020 [1]
2013 [2]
学科主题
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题名升序
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Development of in-situ anisotropic deformation characteristics detection equipment for loess hole
期刊论文
OAI收割
MEASUREMENT, 2025, 卷号: 243, 页码: 18
作者:
Zhang, Yaozhong
;
Zhang, Hongbing
;
Yan, Changgen
;
Lan, Hengxing
;
Liu, Xin
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/03/03
Anisotropic parameter detection
Equipment development
Precision calibration
Field performance test
Development of a robot for in situ detection of loess geological information based on machine vision
期刊论文
OAI收割
ACTA GEOPHYSICA, 2025, 页码: 27
作者:
Li, Bolong
;
Zhang, Hongbing
;
Zhang, He
;
Zhang, Yaozhong
;
Lan, Hengxing
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2025/03/31
Pipeline robot
Loess
Geological information
In situ detection
Image acquisition
Advancing Digital Image-Based Recognition of Soil Water Content: A Case Study in Bailu Highland, Shaanxi Province, China
期刊论文
OAI收割
WATER, 2024, 卷号: 16, 期号: 8, 页码: 23
作者:
Zhang, Yaozhong
;
Zhang, Han
;
Lan, Hengxing
;
Li, Yunchuang
;
Liu, Honggang
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/05/27
soil water content (SWC)
image processing
deep learning
attention mechanism
encoder-decoder architecture
Complexation of Fe(III)/Catechols in atmospheric aqueous phase and the consequent cytotoxicity assessment in human bronchial epithelial cells (BEAS-2B)
期刊论文
OAI收割
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2020, 卷号: 202, 页码: 1-10
作者:
Zhu, Zhonghong
;
Zhang, Jin
;
Lv, Guochun
;
George, Christian
;
Herrmann, Hartmut
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/09/14
4-Nitrocatechol
4-Methylcatechol
Aerosol
Fe/catechols complex
Oligomer
Cytotoxicity
Prediction of mechanical properties of A357 alloy using artificial neural network
期刊论文
OAI收割
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2013, 卷号: 23, 期号: 3, 页码: 788-795
作者:
Yang Xiawei
;
Zhu Jingchuan
;
Nong Zhisheng
;
He Dong
;
Lai Zhonghong
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/02/02
ALUMINUM-ALLOY
PARAMETERS
A357 alloy
mechanical properties
artificial neural network
heat treatment parameters
Prediction of mechanical properties of A357 alloy using artificial neural network
期刊论文
OAI收割
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2013, 卷号: 23, 期号: 3, 页码: 788-795
作者:
Yang Xiawei
;
Zhu Jingchuan
;
Nong Zhisheng
;
He Dong
;
Lai Zhonghong
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/02/02
ALUMINUM-ALLOY
PARAMETERS
A357 alloy
mechanical properties
artificial neural network
heat treatment parameters