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| Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850
作者: J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli
 浏览 |  Adobe PDF(2980Kb) |  收藏 | 浏览/下载：205/68 | 提交时间：2021/02/22
Probabilistic simultaneous localization and mapping (SLAM) dynamic obstacles Markov random fields (MRF) iterated conditional modes (ICM) kernel estimator. |
| 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：176/53 | 提交时间：2021/02/22
Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |
| Type Synthesis and Kinematics Performance Analysis of a Class of 3T2R Parallel Mechanisms with Large Output Rotational Angles 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 775-785
作者: Bing-Shan Jiang; Hai-Rong Fang; Hai-Qiang Zhang
浏览 | Adobe PDF(10106Kb) | 收藏 | 浏览/下载：119/36 | 提交时间：2021/02/22
Type synthesis Lie group theory configuration evolution kinematics performance evaluation. |
| Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 748-760
作者: Song Lu; Yang-Min Li; Bing-Xiao Ding
浏览 | Adobe PDF(19413Kb) | 收藏 | 浏览/下载：123/31 | 提交时间：2021/02/22
Multi-objective optimization parallel kinematic manipulator transmission property non-dominated sorting genetic algorithm (NSGA II). |
| A Survey on 3D Visual Tracking of Multicopters 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 707-719
作者: Qiang Fu; Xiang-Yang Chen; Wei He
浏览 | Adobe PDF(1299Kb) | 收藏 | 浏览/下载：155/53 | 提交时间：2021/02/22
Multicopter three-dimensional (3D) visual tracking camera placement camera calibration pose estimation. |
| Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 683-695
作者: Olfa Yahya; Zeineb Lassoued; Kamel Abderrahim
浏览 | Adobe PDF(2179Kb) | 收藏 | 浏览/下载：83/50 | 提交时间：2021/02/22
Nonlinear control hybrid systems mixed logical dynamic (MLD) model predictive control fuzzy supervisor. |
| 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：139/53 | 提交时间：2021/02/22
Face recognition (FR) local binary pattern (LBP) facial symmetry image interferences multi-mirror average. |
| New LMI Conditions for Reduced-order Observer of Lipschitz Discrete-time Systems: Numerical and Experimental Results 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 644-654
作者: Noussaiba Gasmi; Assem Thabet; Mohamed Aoun
浏览 | Adobe PDF(1366Kb) | 收藏 | 浏览/下载：88/25 | 提交时间：2021/02/22
Reduced-order observer discrete-time systems Lipschitz systems H∞ ARDUINO MEGA 2560 device. |
| A Linear Quadratic Controller Design Incorporating a Parametric Sensitivity Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 553-562
作者: Mohamed Yagoubi
浏览 | Adobe PDF(1651Kb) | 收藏 | 浏览/下载：128/46 | 提交时间：2021/02/22
Linear quadratic control parametric uncertainties trajectory sensitivity non-standard Riccati equation Lur'e matrix equations linear time invariant (LMI) particle swarm optimization. |
| Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者: Viet Khanh Ha; Jin-Chang Ren; Xin-Ying Xu; Sophia Zhao; Gang Xie; Valentin Masero; Amir Hussain
 Adobe PDF(1389Kb) | 收藏 | 浏览/下载：121/31 | 提交时间：2021/02/22
Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
