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| Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 71-82 作者: Gao-Wei Zhang; Peng Yang; Jie Wang; Jian-Jun Sun; Yan Zhang 浏览  |  Adobe PDF(2132Kb)  |  收藏  |  浏览/下载:142/55  |  提交时间:2021/02/22 Upper-limb exoskeleton sliding mode control (SMC) fixed-time control disturbance observe backstepping. |
| 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:145/51  |  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:134/47  |  提交时间:2021/02/22 Polymer melt index soft sensor deep learning deep belief network (DBN) unsupervised training. |
| Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 30-43 作者: Quan Qi; Qing-De Li; Yongqiang Cheng; Qing-Qi Hong 浏览  |  Adobe PDF(2182Kb)  |  收藏  |  浏览/下载:114/42  |  提交时间:2021/02/22 Vascular geometric reconstruction implicit modelling parallel computing high-performance high-accuracy. |
| 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:161/33  |  提交时间:2021/02/22 Computer numerical control (CNC) toolpath interpolation smoothing freeform surface. |
| 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 Adobe PDF(1651Kb)  |  收藏  |  浏览/下载:168/51  |  提交时间:2021/02/22 Nano force sensor carbon nanotube (CNT) finite elements neural network. |
| The Propagation Background in Social Networks: Simulating and Modeling 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 353-363 作者: Kai Li; Tong Xu; Shuai Feng; Li-Sheng Qiao; Hua-Wei Shen; Tian-Yang Lv; Xue-Qi Cheng; En-Hong Chen 浏览  |  Adobe PDF(1398Kb)  |  收藏  |  浏览/下载:124/47  |  提交时间:2021/02/22 Social network information overload propagation background simulating modeling. |
| 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 浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载:197/50  |  提交时间:2021/02/22 Autonomous underwater vehicle (AUV) cooperative motion formation control optimization path planning (PP). |
| Composite Control of Nonlinear Singularly Perturbed Systems via Approximate Feedback Linearization 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 610-620 作者: Aleksey Kabanov; Vasiliy Alchakov 浏览  |  Adobe PDF(6286Kb)  |  收藏  |  浏览/下载:109/39  |  提交时间:2021/02/22 Approximate feedback linearization (AFL) composite control nonlinear singularly perturbed system order reduction decomposition. |
| 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. |