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Control of a 3-RRR Planar Parallel Robot Using Fractional Order PID Controller 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 822-836
作者:  Auday Al-Mayyahi;  Ammar A. Aldair;  Chris Chatwin
浏览  |  Adobe PDF(1903Kb)  |  收藏  |  浏览/下载：176/59  |  提交时间：2021/02/22
3-RRR planar parallel robot  Cayley-Menger determinants  inverse kinematic model  bilateration  fraction order proportional integral derivate (PID) controller  bat optimization algorithm.  
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：195/79  |  提交时间：2021/02/22
Outlier detection  control loop quality  statistical analysis  robust estimation  heavy tails.  
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：236/89  |  提交时间：2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
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：179/65  |  提交时间：2021/02/22
Nonlinear system identification  image processing  discrete cosine transform  radial basis functions  computer-aided diagnosis  neural networks.  
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.  
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：207/41  |  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：244/70  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
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：201/48  |  提交时间：2021/02/22
Hysteresis  nonlinearities  piezoelectric actuator  smart actuator  atomic force microscope.  
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：162/42  |  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：96/30  |  提交时间：2021/02/22
Ozone prediction  machine learning  neural networks  supervised learning  regression.