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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：191/58  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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.  
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：173/47  |  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.  
Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 186-198
作者:  Chang-Jun Li;  Zong-Shi Xie;  Xin-Ran Peng;  Bo Li
浏览  |  Adobe PDF(1239Kb)  |  收藏  |  浏览/下载：130/42  |  提交时间：2021/02/22
Performance evaluation and improvement  chipset assembly & test production line (CATPL)  parameters  Little′s law  variability.  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Yuan Wu;  Hai-Bing Zhu;  Qing-Xiu Du;  Shu-Ming Tang
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：264/80  |  提交时间：2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Progressive Joint Framework for Chinese Question Entity Discovery and Linking With Question Representations 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: -, 页码: 146282-146300
作者:  Lin, Ziqi;  Zhang, Haidong;  Ni, Wancheng;  Yang, Yiping
浏览  |  Adobe PDF(3302Kb)  |  收藏  |  浏览/下载：298/74  |  提交时间：2020/03/30
Entity discovery and linking  information extraction  joint method  natural language processing  question representation model  
Deep Hierarchical Encoder-Decoder Network for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2942-2956
作者:  Xiao, Xinyu;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：317/0  |  提交时间：2020/03/30
Visualization  Semantics  Hidden Markov models  Decoding  Logic gates  Training  Computer architecture  Deep hierarchical structure  encoder-decoder  LSTM  image captioning  retrieval  vision-sentence  
A topic enhanced approach to detecting multiple standpoints in web texts 期刊论文
INFORMATION SCIENCES, 2019, 卷号: 501, 页码: 483-494
作者:  Lin, Junjie;  Kong, Qingchao;  Mao, Wenji;  Wang, Lei
浏览  |  Adobe PDF(1004Kb)  |  收藏  |  浏览/下载：339/93  |  提交时间：2019/10/08
Multiple standpoint detection  Topic model  Topic enhanced approach  Adaptive parameter determination  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
浏览  |  Adobe PDF(989Kb)  |  收藏  |  浏览/下载：465/212  |  提交时间：2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework  
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:  Dong Li;  Dongbin Zhao;  Qichao Zhang;  Yaran Chen
浏览  |  Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：370/106  |  提交时间：2019/04/25
Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning