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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:206/60  |  提交时间:2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
Toolpath Interpolation and Smoothing for Computer Numerical Control Machining of Freeform Surfaces: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 1-16
作者:  Wen-Bin Zhong;  Xi-Chun Luo;  Wen-Long Chang;  Yu-Kui Cai;  Fei Ding;  Hai-Tao Liu;  Ya-Zhou Sun
浏览  |  Adobe PDF(2079Kb)  |  收藏  |  浏览/下载:162/33  |  提交时间:2021/02/22
Computer numerical control (CNC)  toolpath  interpolation  smoothing  freeform surface.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
Adobe PDF(2155Kb)  |  收藏  |  浏览/下载:211/61  |  提交时间:2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Bounded Evaluation: Querying Big Data with Bounded Resources 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 502-526
作者:  Yang Cao;  Wen-Fei Fan;  Teng-Fei Yuan
浏览  |  Adobe PDF(2149Kb)  |  收藏  |  浏览/下载:112/28  |  提交时间:2021/02/22
Bounded evaluation  resource-bounded query processing  effective syntax  access schema  boundedness.  
A Survey on Modelling and Compensation for Hysteresis in High Speed Nanopositioning of AFMs: Observation and Future Recommendation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 479-501
作者:  Maniza Armin;  Priyo Nath Roy;  Sajal Kumar Das
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Hysteresis  nonlinearities  piezoelectric actuator  smart actuator  atomic force microscope.  
Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 667-677
作者:  Maryam Aljanabi;  Mohammad Shkoukani;  Mohammad Hijjawi
浏览  |  Adobe PDF(1159Kb)  |  收藏  |  浏览/下载:82/23  |  提交时间:2021/02/22
Ozone prediction  machine learning  neural networks  supervised learning  regression.