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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 浏览  |  Adobe PDF(1617Kb)  |  收藏  |  浏览/下载:238/70  |  提交时间:2021/02/22 Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| Study on Statistical Outlier Detection and Labelling 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 788-811 作者: Paweł D. Domański 浏览  |  Adobe PDF(3534Kb)  |  收藏  |  浏览/下载:196/79  |  提交时间:2021/02/22 Outlier detection control loop quality statistical analysis robust estimation heavy tails. |
| 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 浏览  |  Adobe PDF(2559Kb)  |  收藏  |  浏览/下载:148/53  |  提交时间:2021/02/22 Logistic chaotic system quantum key nonlinear operation sequence performance image encryption algorithm. |
| 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 浏览  |  Adobe PDF(1364Kb)  |  收藏  |  浏览/下载:249/45  |  提交时间:2021/02/22 Facial emotion analysis face areas class activation map confusion matrix concerned area. |
| Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 55-70 作者: Carlos Beltran-Perez; Hua-Liang Wei; Adrian Rubio-Solis 浏览  |  Adobe PDF(1710Kb)  |  收藏  |  浏览/下载:182/67  |  提交时间:2021/02/22 Nonlinear system identification image processing discrete cosine transform radial basis functions computer-aided diagnosis neural networks. |
| 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:155/50  |  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:191/62  |  提交时间:2021/02/22 Deep learning neural networks hand gesture recognition Leap Motion Controllers drones. |
| Orientation Measurement for Objects with Planar Surface Based on Monocular Microscopic Vision 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 247-256 作者: Ying Li; Xi-Long Liu; De Xu; Da-Peng Zhang 浏览  |  Adobe PDF(1603Kb)  |  收藏  |  浏览/下载:269/74  |  提交时间:2021/02/22 Microscopic vision micro assembly orientation measurement optimization analytical computation. |
| Spectral-spatial Classification of Hyperspectral Images Using Signal Subspace Identification and Edge-preserving Filter 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 222-232 作者: Negin Alborzi; Fereshteh Poorahangaryan; Homayoun Beheshti 浏览  |  Adobe PDF(1128Kb)  |  收藏  |  浏览/下载:174/57  |  提交时间:2021/02/22 Hyperspectral image remote sensing the hyperspectral signal subspace identification (HYSIME) edge-preserving filter classification support vector machine. |
| 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 浏览  |  Adobe PDF(1501Kb)  |  收藏  |  浏览/下载:482/299  |  提交时间:2021/02/22 Discrete-time switched systems Tikhonov regularization varying sampling rates discrete-time control systems networked control systems. |