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Understanding Nonverbal Communication Cues of Human Personality Traits in Human-Robot Interaction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1465-1477
作者:  Zhihao Shen;  Armagan Elibol;  Nak Young Chong
Adobe PDF(5737Kb)  |  收藏  |  浏览/下载:126/42  |  提交时间:2021/03/11
Human-robot interaction  machine learning  nonverbal communication cues  personality traits  
The Indirect Shared Steering Control Under Double Loop Structure of Driver and Automation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1403-1416
作者:  Yantao Tian;  Yanbo Zhao;  Yiran Shi;  Xuanhao Cao;  Ding-Li Yu
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Active disturbance rejection controller (ADRC)  authority allocation  indirect shared control  
A Hybrid Brain-Computer Interface for Closed-Loop Position Control of a Robot Arm 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1344-1360
作者:  Arnab Rakshit;  Amit Konar;  Atulya K. Nagar
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Brain-computer interfacing (BCI)  electroencephalography (EEG)  Jaco robot arm  motor imagery  P300  steady-state visually evoked potential (SSVEP)  
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 790-799
作者:  Hao Zhang;  Yongdan Li;  Zhihan Lv;  Arun Kumar Sangaiah;  Tao Huang
Adobe PDF(3055Kb)  |  收藏  |  浏览/下载:208/49  |  提交时间:2021/03/11
Deep belief network (DBN)  flow calculation  frequent pattern  intrusion detection  sliding window  support vector machine (SVM)  
Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
Adobe PDF(1617Kb)  |  收藏  |  浏览/下载:209/61  |  提交时间:2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
Adobe PDF(1536Kb)  |  收藏  |  浏览/下载:149/57  |  提交时间:2021/02/22
Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
Expression Analysis Based on Face Regions in Real-world Conditions 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 96-107
作者:  Zheng Lian;  Ya Li;  Jian-Hua Tao;  Jian Huang;  Ming-Yue Niu
Adobe PDF(1364Kb)  |  收藏  |  浏览/下载:226/42  |  提交时间:2021/02/22
Facial emotion analysis  face areas  class activation map  confusion matrix  concerned area.  
Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 292-304
作者:  Ya-Ru Liang;  Zhi-Yong Xiao
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Compressive sensing  fractional discrete cosine transform (DCT) via polynomial interpolation  image encryption  three-dimensional piecewise and nonlinear chaotic maps  real-valued output.  
Smooth-optimal Adaptive Trajectory Tracking Using an Uncalibrated Fish-eye Camera 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 267-278
作者:  Zhao-Bing Kang;  Wei Zou;  Zheng Zhu;  Hong-Xuan Ma
浏览  |  Adobe PDF(2266Kb)  |  收藏  |  浏览/下载:221/55  |  提交时间:2021/02/22
Smooth motion  adaptive control  trajectory tracking  wheeled mobile robots  visual servoing.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载:186/35  |  提交时间:2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.