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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：198/50  |  提交时间：2021/11/26
Educational data mining (EDA)  MapReduce framework  deep neuro-fuzzy network  student performance  data augmentation  
Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu;  Jun Sun;  Jing Wang;  Liang-Feng Xu;  Shu Zhan
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载：167/38  |  提交时间：2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
DLA+: A Light Aggregation Network for Object Classification and Detection 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 963-972
作者:  Fu-Tian Wang;  Li Yang;  Jin Tang;  Si-Bao Chen;  Xin Wang
Adobe PDF(1212Kb)  |  收藏  |  浏览/下载：198/30  |  提交时间：2021/11/26
Light weight  image classification  channel attention  efficient convolution  object detection  
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：212/46  |  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：221/48  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：206/40  |  提交时间：2021/11/26
Networked systems  dynamic event-triggered control  dynamic event-triggered estimation  dynamic event-triggered mechanisms  vehicle active suspension system  water distribution and supply system  
Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 826-837
作者:  Jia-Xi Chen;  Jun-Min Li
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载：200/46  |  提交时间：2021/09/13
Fuzzy logic systems  stochastic nonlinear  multi-agent systems (MAS)  consensus algorithm  adaptive control  
Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhan
Adobe PDF(1208Kb)  |  收藏  |  浏览/下载：224/52  |  提交时间：2021/09/13
On-board equipment  fault classification  capsule network  attention mechanism  focal loss  
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：207/42  |  提交时间：2021/09/13
Unmanned aerial vehicle  dynamic sliding mode  trajectory tracking  fractional firefly algorithm  vertical take-off and landing system  
Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者:  Nacer Hacene;  Boubekeur Mendil
Adobe PDF(6433Kb)  |  收藏  |  浏览/下载：185/48  |  提交时间：2021/09/13
Behavior-based autonomous navigation  dynamic obstacles and walls  dynamic target tracking  formation control of multi-robot systems  dynamic environment