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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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Linking land use with riverine water quality: A multi-spatial scale analysis relating to various riparian strips
期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 卷号: 10, 页码: 15
作者:
Li, Siyue
;
Zhang, Jing
;
Jiang, Ping
;
Zhang, Liuqing
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浏览/下载:36/0
  |  
提交时间:2023/02/07
land use indices
riparian zone
streamside management zone
water quality indicators
three Gorges reservoir area
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:
Luo, Xin
;
Zhou, Yue
;
Liu, Zhigang
;
Hu, Lun
;
Zhou, MengChu
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  |  
浏览/下载:79/0
  |  
提交时间:2022/12/26
Computational modeling
Acceleration
Sparse matrices
Adaptation models
Training
Data models
Convergence
Services computing
service application
big data
latent factor analysis
non-negative latent factor model
high-dimensional and sparse matrix
recommender system
missing data
Anthropogenic land use substantially increases riverine CO2 emissions
期刊论文
JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 118, 页码: 158-170
作者:
Gu, Shijie
;
Li, Siyue
;
Santos, Isaac R.
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  |  
浏览/下载:63/0
  |  
提交时间:2022/08/22
River carbon
Inland waters
Greenhouse gases
Climate change
Water quality
Headwater streams
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:
Yuan, Ye
;
Luo, Xin
;
Shang, Mingsheng
;
Wang, Zidong
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  |  
浏览/下载:66/0
  |  
提交时间:2022/08/22
Quality of service
Data models
Kalman filters
Estimation
Computational modeling
Web services
Heuristic algorithms
Alternating least squares (ALSs)
computational intelligence
data science
dynamic latent factor analysis (LFA)
dynamics
intelligent computing
Kalman filter
temporal pattern
Web service
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis
期刊论文
Journal of Big Data, 2022, 卷号: 9, 期号: 1
作者:
Li,Qing
;
Pang,Guansong
;
Shang,Mingsheng
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浏览/下载:50/0
  |  
提交时间:2022/08/22
Big data analysis
Latent factor analysis
Simulated annealing
Differential evolution algorithm
Multi-parameter adaptive
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:
Yuan, Ye
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
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浏览/下载:75/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Big Data
Data models
Stochastic processes
Training
Software algorithms
Big data
latent factor analysis
generally multilayered structure
deep forest
multilayered extreme learning machine
randomized-learning
high-dimensional and sparse matrix
stochastic gradient descent
randomized model
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344
作者:
Wu, Hao
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:64/0
  |  
提交时间:2022/08/22
High-dimensional and sparse tensor
missing data
latent factor analysis
temporal pattern
non-negativity
non-negative latent factorization of tensor
regularization
ensemble
services computing
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:
Wu, Hao
;
Luo, Xin
;
Zhou, MengChu
;
Rawa, Muhyaddin J.
;
Sedraoui, Khaled
;
Albeshri, Aiiad
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Big data
high dimensional and incomplete (HDI) tensor
latent factorization-of-tensors (LFT)
machine learning
missing data
optimization
proportional-integral-derivative (PID) controller