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
广州能源研究所 [10]
生态环境研究中心 [7]
地理科学与资源研究所 [6]
合肥物质科学研究院 [5]
上海硅酸盐研究所 [4]
地质与地球物理研究所 [3]
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期刊论文 [63]
专著章节/文集论文 [1]
会议论文 [1]
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2024 [4]
2023 [12]
2022 [3]
2021 [7]
2020 [5]
2019 [6]
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Biochemist... [1]
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Sedimentary Expressions of the Early Jurassic Jenkyns Event in an Inland Lacustrine System in the Yin'gen-Ejinaqi Basin, North China
期刊论文
OAI收割
ACTA GEOLOGICA SINICA-ENGLISH EDITION, 2024, 卷号: 98, 期号: 5, 页码: 1359-1375
作者:
Yang, Bing
;
Xu, Guozhen
;
Hui, Guangji
;
Wei, Yi
;
Zhang, Xinzhi
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/03/28
spore-pollen assemblages
clay minerals
pyrite framboids
organic carbon isotope
Jenkyns event
Review of energy self-circulation systems integrating biogas utilization with Powerfuels production in global livestock industry
期刊论文
OAI收割
BIORESOURCE TECHNOLOGY, 2024, 卷号: 408, 页码: 131193
作者:
Zhang, Gengxin
;
Shi, Penghua
;
Zhai, Chang
;
Jin, Yu
;
Han, Mengyao
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/19
Livestock industry
Biogas utilization
Energy self-circulation
Powerfuels
Sustainable development
Embracing Large Natural Data: Enhancing Medical Image Analysis via Cross-Domain Fine-Tuning
期刊论文
OAI收割
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28
作者:
Li, Qiankun
;
Huang, Xiaolong
;
Fang, Bo
;
Chen, Huabao
;
Ding, Siyuan
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/11/20
Large natural data
medical image
cross-domain learning
staged fine-tuning
Large natural data
medical image
cross-domain learning
staged fine-tuning
Development of machine-learning-driven signatures for diagnosing and monitoring therapeutic response in major depressive disorder using integrated immune cell profiles and plasma cytokines
期刊论文
OAI收割
THERANOSTICS, 2024, 卷号: 14, 期号: 18, 页码: 7265-7280
作者:
He, Shen
;
Zhao, Faming
;
Sun, Guangqiang
;
Shi, Yue
;
Xu, Tianlun
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/01/14
major depressive disorder
immune cell
CyTOF
cytokines
machine-learning
biomarkers
Phase locking among Saturn radio emissions revealed by
Cassini
observations
期刊论文
OAI收割
ASTRONOMY & ASTROPHYSICS, 2023, 卷号: 680, 页码: 14
作者:
Wu, Siyuan
;
Ye, Shengyi
;
Fischer, Georg
;
Wang, Jian
;
Kurth, William S.
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/01/22
radiation mechanisms: non-thermal
planets and satellites: gaseous planets
planetary systems
Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors
期刊论文
OAI收割
SENSORS, 2023, 卷号: 23, 期号: 23, 页码: 17
作者:
Jin, Xu
;
Wang, Xuhu
;
Hou, Yujun
;
Hao, Siyuan
;
Wang, Xinjie
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/04/07
two-dimensional direction-of-arrival (2D DOA)
gain-phase errors
sparse signal reconstruction
sparse Bayesian learning
L-shaped array
基于电阻层析成像技术的弹状流实验研究
期刊论文
OAI收割
实验技术与管理, 2023, 卷号: 40, 期号: 09, 页码: 17-22+28
作者:
赵培华
;
李华
;
蔺景德
;
张军
;
徐思渊
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/10/26
气液两相流
电阻层析成像
互相关速度计算
漂移流模型
段塞参数
TIPS: A three-dimensional phenotypic measurement system for individual maize tassel based on TreeQSM
期刊论文
OAI收割
ELSEVIER SCI LTD, 2023, 卷号: 212
作者:
Xu, Bo
;
Wan, Xiangyuan
;
Yang, Hao
;
Feng, Haikuan
;
Fu, Yuanyuan
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/10/10
Maize tassel
Organ -scale phenotypes
TreeQSM
Three-dimensional point cloud reconstruction
Digital photographs
Hierarchical Decentralized Federated Learning Framework with Adaptive Clustering: Bloom-Filter-Based Companions Choice for Learning Non-IID Data in IoV
期刊论文
OAI收割
ELECTRONICS, 2023, 卷号: 12, 期号: 18, 页码: 18
作者:
Liu, Siyuan
;
Liu, Zhiqiang
;
Xu, Zhiwei
;
Liu, Wenjing
;
Tian, Jie
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/12/04
Internet of Vehicles
hierarchical decentralized federated learning
in-network compact representation
vehicle clustering
Searching for the Nano-Hertz Stochastic Gravitational Wave Background with the Chinese Pulsar Timing Array Data Release I
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2023, 卷号: 23, 期号: 7
作者:
Xu, Heng
;
Chen, Siyuan
;
Guo, Yanjun
;
Jiang, Jinchen
;
Wang, Bojun
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/07/31
(stars:) pulsars: general
gravitational waves
methods: statistical
methods: observational