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Tactile-Based Fabric Defect Detection Using Convolutional Neural Network With Attention Mechanism 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:  Bin Fang;  Long, Xingming;  Sun, Fuchun;  Liu, Huaping;  Zhang, Shixin;  Fang, Cheng
收藏  |  浏览/下载:22/0  |  提交时间:2022/12/07
Fabrics  Feature extraction  Frequency-domain analysis  Tactile sensors  Cameras  Visualization  Sensors  Attention mechanism  defect detection  vision-based tactile sensor  
Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 16
作者:  Lu, Shuangqiu;  Gong, Yilin;  Luo, Haiyong;  Zhao, Fang;  Li, Zhaohui;  Jiang, Jinguang
收藏  |  浏览/下载:30/0  |  提交时间:2021/12/01
Artificial intelligence (AI) and neural networks (NNs)  global position system (GPS) outages  inertial navigation system (INS)/GPS integrated navigation  multi-task learning (MTL)  multiple pseudo-measurement estimation  
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:  Wang, Rongrong;  Luo, Haiyong;  Wang, Qu;  Li, Zhaohui;  Zhao, Fang;  Huang, Jingyu
收藏  |  浏览/下载:142/0  |  提交时间:2020/12/10
Wireless fidelity  Feature extraction  Fingerprint recognition  Residual neural networks  Deep learning  Robustness  Degradation  Convolutional neural network (CNN)  indoor positioning  long short-term memory (LSTM)  residual network  spatial-temporal  
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48
作者:  Ma, Chao;  Guo, Yulan;  Lei, Yinjie;  An, Wei
收藏  |  浏览/下载:271/0  |  提交时间:2019/04/03
3-D object recognition  convolutional neural network (CNN)  deep learning (DL)  network binarization  volumetric representation  
Dynamic compensation of Nonlinear sensors by a learning-from-examples approach 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2008, 卷号: 57, 期号: 8, 页码: 1689-1694
作者:  Marconato, Anna;  Hu, Mingqing;  Boni, Andrea;  Petri, Dario
收藏  |  浏览/下载:35/0  |  提交时间:2019/12/16
dynamic compensation  low power  microcontroller implementation  reduced-set methods  support vector machines for regression (SVRs)  wireless sensor networks (WSNs)