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SSR-HEF: Crowd Counting With Multiscale Semantic Refining and Hard Example Focusing 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18
作者:  Chen, Jiwei;  Wang, Kewei;  Su, Wen;  Wang, Zengfu
收藏  |  浏览/下载：46/0  |  提交时间：2022/12/23
Semantics  Task analysis  Feature extraction  Focusing  Informatics  Estimation  Prediction algorithms  Crowd counting  density map  hard example focusing (HEF)  multiscale semantic refining strategy (SSR)  
Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty 期刊论文
IEEE Transactions on Industrial Informatics, 2022
作者:  Yao, Yuantao;  Yang, Minghan;  Wang, Jianye;  Xie, Min
收藏  |  浏览/下载：20/0  |  提交时间：2023/11/15
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:  Liu, Liu;  Xie, Chengjun;  Wang, Rujing;  Yang, Po;  Sudirman, Sud;  Zhang, Jie;  Li, Rui;  Wang, Fangyuan
收藏  |  浏览/下载：80/0  |  提交时间：2021/09/06
Feature extraction  Monitoring  Machine learning  Object detection  Agriculture  Proposals  Image recognition  Convolutional neural network (CNN)  global activated feature pyramid network  local activated region proposal network  pest monitoring  
A Switching Hidden Semi-Markov Model for Degradation Process and Its Application to Time-Varying Tool Wear Monitoring 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:  Liu, Tongshun;  Zhu, Kunpeng
收藏  |  浏览/下载：62/0  |  提交时间：2021/03/15
Condition monitoring  degradation process  remaining useful life (RUL)  switching hidden semi-Markov model (SHSMM)  tool wear monitoring (TWM)  
Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16
作者:  Zhang, Yingjie;  Soon, Hong Geok;  Ye, Dongsen;  Fuh, Jerry Ying Hsi;  Zhu, Kunpeng
收藏  |  浏览/下载：39/0  |  提交时间：2020/10/26
Feature extraction  Cameras  Fiber lasers  Laser modes  Convolutional neural nets  Additive manufacturing  condition monitoring  convolutional neural networks (CNNs)  melt-pool-affected zone  powder-bed fusion (PBF)  
Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features 期刊论文
IEEE Transactions on Industrial Informatics, 2020
作者:  Xie CJ(谢成军)
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/27