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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：211/70  |  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：189/57  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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：127/31  |  提交时间：2021/02/22
Multi-objective optimization  parallel kinematic manipulator  transmission property  non-dominated sorting genetic algorithm (NSGA II).  
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：148/49  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
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：157/53  |  提交时间：2021/02/22
Multicopter  three-dimensional (3D) visual tracking  camera placement  camera calibration  pose estimation.  
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：142/68  |  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：148/52  |  提交时间：2021/02/22
Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).  
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436
作者:  Simone Hantke;  Tobias Olenyi;  Christoph Hausner;  Tobias Appel;  Björn Schuller
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Human computation  speech analysis  crowdsourcing  gamified data collection  survey.  
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
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：124/32  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
浏览  |  Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：127/41  |  提交时间：2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.