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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
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Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
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
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Deep learning  neural networks  hand gesture recognition  Leap Motion Controllers  drones.  
A Practical Approach to Representation of Real-time Building Control Applications in Simulation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 464-478
作者:  Azzedine Yahiaoui
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Distributed dynamic simulation  networked control systems  building performance applications  smart buildings  building automation and control systems (BACS) architecture.  
Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 453-463
作者:  Fernando Agustín Pazos;  Anibal Zanini;  Amit Bhaya
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Discrete-time switched systems  Tikhonov regularization  varying sampling rates  discrete-time control systems  networked control systems.  
A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 744-751
作者:  Jun-Bin Zhang;  Jin-Yan Cai;  Ya-Feng Meng;  Tian-Zhen Meng
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Circuit design  self-adaptive design  redundant fault tolerance technique  evolvable hardware (EHW)  evolutionary algorithms (EA).  
Item Response Theory Based Ensemble in Machine Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636
作者:  Ziheng Chen;  Hongshik Ahn
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Classification  ensemble learning  item response theory  machine learning  expectation maximization (EM) algorithm.