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| Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者: Ma HX(马洪轩) ; Zou W(邹伟); Zhu Z(朱政); Zhang C(张弛); Kang ZB(亢兆兵)
 Adobe PDF(3894Kb) |  收藏 | 浏览/下载：147/38 | 提交时间：2021/06/04
Eye-in-vehicle observation position mobile robot visual servoing pan-tilt camera platform |
| 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：171/53 | 提交时间：2021/02/22
Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |
| Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者: Hong-Xuan Ma; Wei Zou; Zheng Zhu; Chi Zhang; Zhao-Bing Kang
浏览 | Adobe PDF(3894Kb) | 收藏 | 浏览/下载：150/35 | 提交时间：2021/02/22
Eye-in-vehicle observation position mobile robot visual servoing pan-tilt camera platform. |
| 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：143/48 | 提交时间：2021/02/22
Electroencephalogram (EEG) alcoholism optimum allocation technique feature extraction decision table. |
| 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：83/28 | 提交时间：2021/02/22
Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
| Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者: Deepanshu Srivastava; Venkateswara Rao Komma
浏览 | Adobe PDF(3913Kb) | 收藏 | 浏览/下载：108/38 | 提交时间：2021/02/22
Reduced-order observer discrete-time systems Lipschitz systems H∞ ARDUINO MEGA 2560 device. |
| 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：140/39 | 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：176/53 | 提交时间：2021/02/22
Fine-grained image classification zero-shot learning deep feature learning domain adaptation semantic graph. |
| 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
 Adobe PDF(1345Kb) | 收藏 | 浏览/下载：109/39 | 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
Adobe PDF(1389Kb) | 收藏 | 浏览/下载：118/30 | 提交时间：2021/02/22
Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
