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Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 981-992
作者:  Amlan Jyoti Baruah;  Siddhartha Baruah
Adobe PDF(1583Kb)  |  收藏  |  浏览/下载：228/53  |  提交时间：2021/11/26
Educational data mining (EDA)  MapReduce framework  deep neuro-fuzzy network  student performance  data augmentation  
Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhang
Adobe PDF(1263Kb)  |  收藏  |  浏览/下载：257/58  |  提交时间：2021/11/26
Train control system  Chinese named entity recognition (NER)  character feature  gating mechanism  bidirectional long short-term memory (BiLSTM)  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：254/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813
作者:  Yashar Mousavi;  Amin Zarei;  Arash Mousavi;  Mohsen Biari
Adobe PDF(4822Kb)  |  收藏  |  浏览/下载：225/46  |  提交时间：2021/09/13
Unmanned aerial vehicle  dynamic sliding mode  trajectory tracking  fractional firefly algorithm  vertical take-off and landing system  
Elastic Smart Contracts in Blockchains 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1901-1912
作者:  Schahram Dustdar;  Pablo Fernández;  José María García;  Antonio Ruiz-Cortés
Adobe PDF(7296Kb)  |  收藏  |  浏览/下载：197/62  |  提交时间：2021/09/03
Blockchain  elasticity  Internet of Things (IoT)  smart cities  smart contracts  virtual chains  
Variational Gridded Graph Convolution Network for Node Classification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1697-1708
作者:  Xiaobin Hong;  Tong Zhang;  Zhen Cui;  Jian Yang
Adobe PDF(2419Kb)  |  收藏  |  浏览/下载：147/43  |  提交时间：2021/09/03
Graph coarsening  gridding  node classification  random walk  variational convolution  
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:  Jun Tang;  Gang Liu;  Qingtao Pan
Adobe PDF(5712Kb)  |  收藏  |  浏览/下载：152/38  |  提交时间：2021/09/03
Ant colony optimization (ACO)  artificial bee colony (ABC)  artificial fish swarm (AFS)  bacterial foraging optimization (BFO)  optimization  particle swarm optimization (PSO)  swarm intelligence  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载：163/43  |  提交时间：2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1567-1575
作者:  Guowei Dong;  Liang Cao;  Deyin Yao;  Hongyi Li;  Renquan Lu
Adobe PDF(5912Kb)  |  收藏  |  浏览/下载：185/54  |  提交时间：2021/09/03
Disturbance observer  fault-tolerant control (FTC)  multi multi-rotor unmanned aerial vehicle (multi-MUAV) attitude systems  neural networks (NNs)  output dead-zone  
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:  Samuel Harford;  Fazle Karim;  Houshang Darabi
Adobe PDF(12886Kb)  |  收藏  |  浏览/下载：151/46  |  提交时间：2021/09/03
Adversarial machine learning  deep learning  multivariate time series  perturbation methods