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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:214/62  |  提交时间:2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:213/83  |  提交时间:2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 123-138
作者:  Bin Ge;  Hai-Bo Luo
Adobe PDF(2559Kb)  |  收藏  |  浏览/下载:135/48  |  提交时间:2021/02/22
Logistic chaotic system  quantum key  nonlinear operation  sequence performance  image encryption algorithm.  
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
浏览  |  Adobe PDF(1536Kb)  |  收藏  |  浏览/下载:154/59  |  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
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Facial emotion analysis  face areas  class activation map  confusion matrix  concerned area.  
Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 71-82
作者:  Gao-Wei Zhang;  Peng Yang;  Jie Wang;  Jian-Jun Sun;  Yan Zhang
浏览  |  Adobe PDF(2132Kb)  |  收藏  |  浏览/下载:147/57  |  提交时间:2021/02/22
Upper-limb exoskeleton  sliding mode control (SMC)  fixed-time control  disturbance observe  backstepping.  
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54
作者:  Chang-Hao Zhu;  Jie Zhang
浏览  |  Adobe PDF(1138Kb)  |  收藏  |  浏览/下载:140/47  |  提交时间:2021/02/22
Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.  
Deep Learning Based Hand Gesture Recognition and UAV Flight Controls 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 17-29
作者:  Bin Hu;  Jiacun Wang
浏览  |  Adobe PDF(1357Kb)  |  收藏  |  浏览/下载:172/57  |  提交时间:2021/02/22
Deep learning  neural networks  hand gesture recognition  Leap Motion Controllers  drones.  
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
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Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.  
Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 279-291
作者:  Farid Menacer;  Abdelmalek Kadr;  Zohir Dibi
浏览  |  Adobe PDF(1651Kb)  |  收藏  |  浏览/下载:174/53  |  提交时间:2021/02/22
Nano force  sensor  carbon nanotube (CNT)  finite elements  neural network.