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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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Recent Advances and Techniques for Identifying Novel Antibacterial Targets
期刊论文
CURRENT MEDICINAL CHEMISTRY, 2024, 卷号: 31, 期号: 4, 页码: 464-501
作者:
Nazli, Adila
;
Qiu, Jingyi
;
Tang, Ziyi
;
He, Yun
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  |  
浏览/下载:13/0
  |  
提交时间:2023/12/25
Antibacterial
omics
machine learning
bioinformatics
drug target
bacterial cytological profiling
Supervised machine learning improves general applicability of eDNA metabarcoding for reservoir health monitoring
期刊论文
WATER RESEARCH, 2023, 卷号: 246, 页码: 12
作者:
Hu, Huan
;
Wei, Xing-Yi
;
Liu, Li
;
Wang, Yuan-Bo
;
Jia, Huang-Jie
;
Bu, Ling-Kang
;
Pei, De-Sheng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/12/25
Three Gorges Reservoir
Physicochemical assessment
Water quality index
eDNA metabarcoding
Index of biotic integrity
Supervised machine learning
A LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis
期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2023, 卷号: 17, 期号: 8, 页码: 2016-2029
作者:
Han, Lei
;
Zhu, Yiziting
;
Chen, Yuwen
;
Huang, Guoqiong
;
Yi, Bin
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  |  
浏览/下载:12/0
  |  
提交时间:2023/12/25
Critical illness
Light gradient boosting machine (LightGBM)
Indicator analysis
Shapley additive explanation (SHAP) value
Machine learning
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
作者:
Qin, Wen
;
Luo, Xin
;
Li, Shuai
;
Zhou, MengChu
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/25
Adaptation models
Training
Data models
Convergence
Stochastic processes
Sparse matrices
Tuning
Big data
latent factor analysis
Index Terms
adaptive model
parallelization
machine learning
stochastic gradient descent
high-dimensional and incomplete matrix
Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions
期刊论文
WATER RESOURCES RESEARCH, 2022, 卷号: 58, 期号: 10, 页码: 15
作者:
Huang, Sheng
;
Xia, Jun
;
Wang, Yueling
;
Wang, Wenyucheng
;
Zeng, Sidong
;
She, Dunxian
;
Wang, Gangsheng
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/12/26
river modeling
machine learning
hydrodynamic models
water exchange
downstream boundary conditions
Optimization of anesthetic decision-making in ERAS using Bayesian network
期刊论文
FRONTIERS IN MEDICINE, 2022, 卷号: 9, 页码: 16
作者:
Chen, Yuwen
;
Zhu, Yiziting
;
Zhong, Kunhua
;
Yang, Zhiyong
;
Li, Yujie
;
Shu, Xin
;
Wang, Dandan
;
Deng, Peng
;
Bai, Xuehong
;
Gu, Jianteng
;
Lu, Kaizhi
;
Zhang, Ju
;
Zhao, Lei
;
Zhu, Tao
;
Wei, Ke
;
Yi, Bin
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  |  
浏览/下载:47/0
  |  
提交时间:2022/12/26
Bayesian network
enhanced recovery after surgery
decision-making
gynecological tumor
machine learning
Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models
期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:
Li, Xiao
;
Zhang, Liping
;
Zeng, Sidong
;
Tang, Zhenyu
;
Liu, Lina
;
Zhang, Qin
;
Tang, Zhengyang
;
Hua, Xiaojun
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/12/26
monthly runoff prediction
machine learning
copula entropy
stepwise regression
Upper Yangtze River
Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning
期刊论文
TOXINS, 2022, 卷号: 14, 期号: 8, 页码: 16
作者:
Wang, Xiaoxiao
;
Wang, Lan
;
Shang, Mingsheng
;
Song, Lirong
;
Shan, Kun
收藏
  |  
浏览/下载:112/0
  |  
提交时间:2022/10/14
Microcystis blooms
microcystins
nutrient
zooplankton
machine learning
risk management
Lake Taihu
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
收藏
  |  
浏览/下载:74/0
  |  
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
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:53/0
  |  
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