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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：228/67  |  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
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Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
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：201/39  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
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
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：236/67  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 390-402
作者:  Hao Wu;  Zhao-Wei Chen;  Guo-Hui Tian;  Qing Ma;  Meng-Lin Jiao
浏览  |  Adobe PDF(1950Kb)  |  收藏  |  浏览/下载：143/52  |  提交时间：2021/02/22
Service robot  ownership relationship  convolutional neural network  human-object spatial relationship  personalized service.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
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Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
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
浏览  |  Adobe PDF(2007Kb)  |  收藏  |  浏览/下载：184/45  |  提交时间：2021/02/22
Hysteresis  nonlinearities  piezoelectric actuator  smart actuator  atomic force microscope.  
Adaptive Equivalent-input-disturbance Approach to Improving Disturbance-rejection Performance 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 701-712
作者:  Ze-Wen Wang;  Jin-Hua She;  Guang-Jun Wang
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Adaptive control  disturbance rejection  equivalent input disturbance (EID)  linear matrix inequality (LMI)  Lyapunov stability  root locus.  
A Creative Computing Approach to Film-story Creation: A Proposed Theoretical Framework 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 678-690
作者:  Hong-Wei Liu;  Hong-Rui Liu;  Hong-Ji Yang;  En-Ze Yu
浏览  |  Adobe PDF(1297Kb)  |  收藏  |  浏览/下载：153/39  |  提交时间：2021/02/22
Creative computing  film-story creation  creativity rules  automatic generation  human-like scriptwriting.  
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：92/28  |  提交时间：2021/02/22
Ozone prediction  machine learning  neural networks  supervised learning  regression.