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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.  
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
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
Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:214/75  |  提交时间:2021/02/22
Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.  
Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 279-291
作者:  Farid Menacer;  Abdelmalek Kadr;  Zohir Dibi
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Nano force  sensor  carbon nanotube (CNT)  finite elements  neural network.  
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
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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
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Adversarial example  model safety  robustness  defenses  deep learning.  
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
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.  
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.