中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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:  Hao Wu;  Xin Luo;  MengChu Zhou;  Muhyaddin J. Rawa;  Khaled Sedraoui;  Aiiad Albeshri
Adobe PDF(2495Kb)  |  收藏  |  浏览/下载：206/53  |  提交时间：2022/03/09
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 160-172
作者:  Lun Hu;  Shicheng Yang;  Xin Luo;  Huaqiang Yuan;  Khaled Sedraoui;  MengChu Zhou
Adobe PDF(1993Kb)  |  收藏  |  浏览/下载：233/55  |  提交时间：2021/11/03
Distributed computing  large-scale prediction machine learning  MapReduce  protein-protein interaction (PPI)  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
Adobe PDF(2300Kb)  |  收藏  |  浏览/下载：212/38  |  提交时间：2021/11/03
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Jinhu Lü;  Guanghui Wen;  Ruqian Lu;  Yong Wang;  Songmao Zhang
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：132/18  |  提交时间：2022/08/01
Complex network  knowledge graph  networked knowledge  neural network  
A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 64-76
作者:  Cosimo Ieracitano;  Annunziata Paviglianiti;  Maurizio Campolo;  Amir Hussain;  Eros Pasero;  Francesco Carlo Morabito
Adobe PDF(5488Kb)  |  收藏  |  浏览/下载：208/50  |  提交时间：2021/04/09
Anomaly detection  autoencoder (AE)  electrospinning  machine learning  material informatics  nanomaterials