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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：192/58 | 提交时间：2021/02/22
Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |
| 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：159/54 | 提交时间：2021/02/22
Multicopter three-dimensional (3D) visual tracking camera placement camera calibration pose estimation. |
| Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 604-613
作者: Yuan Xu ; Tao Shen; Xi-Yuan Chen; Li-Li Bu; Ning Feng
浏览 | Adobe PDF(4479Kb) | 收藏 | 浏览/下载：156/48 | 提交时间：2021/02/22
Indoor human localization tightly-coupled model predictive filtering Kalman filter missing data. |
| Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者: Huan Liu; Gen-Fu Xiao; Yun-Lan Tan; Chun-Juan Ouyang
浏览 | Adobe PDF(2216Kb) | 收藏 | 浏览/下载：154/41 | 提交时间：2021/02/22
Feature fusion multi-scale circle Gaussian combined invariant moment multi-direction gray level co-occurrence matrix multi-source remote sensing image registration contourlet transform. |
| Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574
作者: Ao-Xue Li; Ke-Xin Zhang; Li-Wei Wang
浏览 | Adobe PDF(1089Kb) | 收藏 | 浏览/下载：187/57 | 提交时间：2021/02/22
Fine-grained image classification zero-shot learning deep feature learning domain adaptation semantic graph. |
| Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 449-461
作者: Bing-Xing Wu; Suat Utku Ay; Ahmed Abdel-Rahim
浏览 | Adobe PDF(6241Kb) | 收藏 | 浏览/下载：121/35 | 提交时间：2021/02/22
Traffic monitoring application spatial resolution pixel-resolution mapping (P-RM) method 3D information pedestrian height estimation. |
| 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
浏览 | Adobe PDF(1345Kb) | 收藏 | 浏览/下载：115/41 | 提交时间：2021/02/22
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：126/32 | 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：131/42 | 提交时间：2021/02/22
Non-stationary signals sparse S-transform (SST) scaling method fuzzy decision tree pattern classification. |
| Sequential Fault Diagnosis Using an Inertial Velocity Differential Evolution Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 389-397
作者: Xiao-Hong Qiu; Yu-Ting Hu; Bo Li
 Adobe PDF(792Kb) | 收藏 | 浏览/下载：157/55 | 提交时间：2021/02/22
Differential evolution (DE) evolutionary computation fault isolation rate (FIR) testability fault diagnosis. |
