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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
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.  
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
浏览  |  Adobe PDF(1536Kb)  |  收藏  |  浏览/下载：178/69  |  提交时间：2021/02/22
Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
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.  
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：153/50  |  提交时间：2021/02/22
Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.  
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：208/42  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Low-latency Data Gathering with Reliability Guaranteeing in Heterogeneous Wireless Sensor Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 439-452
作者:  Tian-Yun Shi;  Jian Li;  Xin-Chun Jia;  Wei Bai;  Zhong-Ying Wang;  Dong Zhou
Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：213/60  |  提交时间：2021/02/22
Heterogeneous wireless sensor networks (HWSNs)  data gathering tree  multi-channel  power assignment  link scheduling.  
Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 428-438
作者:  Mahdi Chavoshian;  Mostafa Taghizadeh;  Mahmood Mazare
Adobe PDF(2564Kb)  |  收藏  |  浏览/下载：140/58  |  提交时间：2021/02/22
Dynamic neural network (DNN) control  hybrid control  pneumatic muscle  particle swarm optimization  sliding mode control.  
HDec-POSMDPs MRS Exploration and Fire Searching Based on IoT Cloud Robotics 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 364-377
作者:  Ayman El Shenawy;  Khalil Mohamed1, Hany Harb
Adobe PDF(1792Kb)  |  收藏  |  浏览/下载：184/58  |  提交时间：2021/02/22
Multi-robot systems  hybrid decentralized partially observable semi-Markov decision process (HDec-POSMDPs)  multi-robot systems (MRS) exploration and fire searching  cloud robotics  cloud computing.  
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
Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：224/56  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609
作者:  Ali Darvish Falehi
浏览  |  Adobe PDF(3763Kb)  |  收藏  |  浏览/下载：167/48  |  提交时间：2021/02/22
Power system dynamic stability  fuzzy logic automatic generation control (FLAGC)  particle swarm optimization (PSO)  real coded genetic algorithm (RCGA)  simultaneous coordination scheme.