中国科学院重庆绿色智能技术研究院机构知识库

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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 收藏  |  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 收藏  |  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 收藏  |  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：40/0  |  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