中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共7条，第1-7条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：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  
Multi-Structure KELM With Attention Fusion Strategy for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:  Sun, Le;  Fang, Yu;  Chen, Yuwen;  Huang, Wei;  Wu, Zebin;  Jeon, Byeungwoo
收藏  |  浏览/下载：42/0  |  提交时间：2022/12/26
Feature extraction  Training  Deep learning  Kernel  Hyperspectral imaging  Electronic mail  Extreme learning machines  Attention mechanisms  hyperspectral image (HSI) classification  kernel extreme learning machine (KELM)  multifeature  multiscale (MS)