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| A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811 作者: Snehasis Banerjee; Tanushyam Chattopadhyay; Utpal Garain 浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载:250/67  |  提交时间:2021/02/22 Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |
| Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736 作者: Xiang Zhang; Qiang Yang 浏览  |  Adobe PDF(1145Kb)  |  收藏  |  浏览/下载:113/35  |  提交时间:2021/02/22 Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
| A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 671-682 作者: Shui-Guang Tong; Yuan-Yuan Huang; Zhe-Ming Tong 浏览  |  Adobe PDF(1191Kb)  |  收藏  |  浏览/下载:172/60  |  提交时间:2021/02/22 Face recognition (FR) local binary pattern (LBP) facial symmetry image interferences multi-mirror average. |
| A Fault Tolerant Control Scheme Using the Feasible Constrained Control Allocation Strategy 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 628-643 作者: Mehdi Naderi; Tor Arne Johansen; Ali Khaki Sedigh 浏览  |  Adobe PDF(1916Kb)  |  收藏  |  浏览/下载:149/52  |  提交时间:2021/02/22 Control allocation feasibility fault tolerant control model predictive control domain of attraction. |
| An Efficient Adaptive Hierarchical Sliding Mode Control Strategy Using Neural Networks for 3D Overhead Cranes 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 614-627 作者: Viet-Anh Le; Hai-Xuan Le; Linh Nguyen; Minh-Xuan Phan 浏览  |  Adobe PDF(1276Kb)  |  收藏  |  浏览/下载:160/76  |  提交时间:2021/02/22 3D overhead crane adaptive control hierarchical sliding mode control neural network radial basis function. |
| Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542 作者: Atlas Khan; Yan-Peng Qu 浏览  |  Adobe PDF(1429Kb)  |  收藏  |  浏览/下载:174/58  |  提交时间:2021/02/22 Optimization self organizing map (SOM) SOM-based optimization (SOMO) algorithm particle swarm optimization (PSO) genetic algorithms (GAs). |
| H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 329-340 作者: Ya-Jun Li; Zhao-Wen Huang; Jing-Zhao Li 浏览  |  Adobe PDF(696Kb)  |  收藏  |  浏览/下载:197/55  |  提交时间:2021/02/22 H∞ filtering state estimation Markovian jump exponential stability linear matrix inequality (LMI) neural networks time-varying delay leakage delay. |
| Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149 作者: Brian D. O. Anderson; Mengbin Ye 浏览  |  Adobe PDF(1461Kb)  |  收藏  |  浏览/下载:162/62  |  提交时间:2021/02/22 Opinion dynamics social networks influence networks agent-based models multi-agent systems networked systems. |
| Optimization RFID-enabled Retail Store Management with Complex Event Processing 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 52-64 作者: Shang-Lian Peng; Ci-Jian Liu; Jia He; Hong-Nian Yu; Fan Li 浏览  |  Adobe PDF(1080Kb)  |  收藏  |  浏览/下载:202/57  |  提交时间:2021/02/22 Complex event processing (CEP) radio frequency identification (RFID) Internet of things data stream supply chain retail store. |
| Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39 作者: Yu Hao; Zhi-Jie Xu; Ying Liu; Jing Wang; Jiu-Lun Fan 浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:236/67  |  提交时间:2021/02/22 Crowd behavior spatial-temporal texture gray level co-occurrence matrix information entropy. |