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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：12/0  |  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：12/0  |  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：11/0  |  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  
基于迭代轨迹划分的单分支循环程序终止性分析 期刊论文
计算机科学, 2023, 卷号: 50, 期号: 9, 页码: 108-116
作者:  王垚;  李轶
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
Program verification  Ranking functions  Machine learning  Program termination  程序验证  秩函数  机器学习  程序终止性  
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：36/0  |  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：46/0  |  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：39/0  |  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