中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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海洋研究所 [27]
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A Data-Driven Method for Direct Estimation of Global 8-Day 500-m Ecosystem Water Use Efficiency
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4417310
作者:
Huang, Lingxiao
;
Sun, Yifei
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2025/01/17
MODIS
Predictive models
Land surface
Training
Poles and towers
Forests
Water
Remote sensing
Maximum likelihood estimation
Grasslands
Ecosystem water use efficiency (WUE)
evapotranspiration (ET)
gross primary production (GPP)
machine learning (ML)
remote sensing (RS)
The convolutional neural network for Pacific decadal oscillation forecast
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 12, 页码: 11
作者:
Skanupong, Nutta
;
Xu, Yongsheng
;
Yu, Lejiang
;
Wan, Zhang
;
Wang, Shuo
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/12/20
convolutional neural network (CNN)
machine learning (ML)
pacific decadal oscillation (PDO)
sea surface temperature (SST)
Identifying payable cluster distributions for improved reservoir characterization: a robust unsupervised ML strategy for rock typing of depositional facies in heterogeneous rocks
期刊论文
OAI收割
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2024, 卷号: 10, 期号: 1, 页码: 22
作者:
Ashraf, Umar
;
Anees, Aqsa
;
Zhang, Hucai
;
Ali, Muhammad
;
Thanh, Hung Vo
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/06/27
Unsupervised ML algorithms
SOM
K-means clustering
Payable clusters distribution
DBSCAN
SHAP
Investigating the effects of industrial transformation and agglomeration on industrial eco-efficiency for green development: Evidence from enterprises in the Yangtze River Economic Belt
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 479, 页码: 143949
作者:
Lu, Peng
;
Li, Zhihui
;
Wu, Haowei
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/12/20
Industrial eco-efficiency
Factory scatter index
Industrial structure upgrading and agglomeration
Industrial transformation
Super SBM-ML model
Machine learning optimization strategy of shaped charge liner structure based on jet penetration efficiency
期刊论文
OAI收割
DEFENCE TECHNOLOGY, 2024, 卷号: 39, 页码: 23-41
作者:
Zhao ZQ(赵子棋)
;
Li T(李统)
;
Sheng DL(盛冬林)
;
Chen J(陈健)
;
Yan AM(鄢阿敏)
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/10/21
Jet penetration efficiency
Shaped charge liner
FEM-ML
XGBOOST
MFO
High-entropy alloy
Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves
期刊论文
OAI收割
ENERGIES, 2024, 卷号: 17, 期号: 15, 页码: 22
作者:
Ali, Nafees
;
Fu, Xiaodong
;
Chen, Jian
;
Hussain, Javid
;
Hussain, Wakeel
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/06/27
porosity curve prediction
ML
artificial neural network
fuzzy logic
Retrieval of subsurface dissolved oxygen from surface oceanic parameters based on machine learning
期刊论文
OAI收割
MARINE ENVIRONMENTAL RESEARCH, 2024, 卷号: 199, 页码: 17
作者:
Ping, Bo
;
Meng, Yunshan
;
Su, Fenzhen
;
Xue, Cunjin
;
Li, Zhi
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/10/08
Dissolved oxygen (DO)
Machine learning (ML)
Sea surface temperature (SST)
Sea surface salinity (SSS)
Chlorophyll -a concentration (chlor-a)
Ciliatonoids D-M, highly modified limonoids from the twigs of Toona ciliata
期刊论文
OAI收割
TETRAHEDRON, 2024, 卷号: 156, 页码: 10
作者:
Liu, Cui-Ping
;
Gao, Yuan
;
Li, Wen-Jing
;
Xu, Cheng-Hui
;
Liu, Qun-Fang
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/06/27
Toona ciliata
Meliaceae
Limonoid
ML-J-DP4
Ciliatonoids D-M
Cytotoxicity
Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 171, 页码: 107585
作者:
Shi T(时涛)
;
Sun JY(孙经雨)
;
Li JH(李江华)
;
Qian GA(钱桂安)
;
Hong YS(洪友士)
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/04/20
Very high cycle fatigue (VHCF)
Machine learning (ML)
Selective laser melting (SLM)
Fatigue life prediction
Interpolation
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)