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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  
EFCNet: Ensemble Full Convolutional Network for Semantic Segmentation of High-Resolution Remote Sensing Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021
作者:  Chen, Li;  Dou, Xin;  Peng, Jian;  Li, Wenbo;  Sun, Bingyu;  Li, Haifeng
收藏  |  浏览/下载：65/0  |  提交时间：2022/01/25
Convolution  Feature extraction  Kernel  Training  Remote sensing  Image segmentation  Spatial resolution  Convolutional neural network (CNN)  ensemble learning  remote sensing  semantic segmentation  
Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network 期刊论文
COMPUTER COMMUNICATIONS, 2021, 卷号: 173
作者:  Liu, Shaoqing;  Ji, Zhenshan;  Wang, Yong;  Zhang, Zuchao;  Xu, Zhanghou;  Kan, Chaohao;  Jin, Ke
收藏  |  浏览/下载：49/0  |  提交时间：2021/06/15
Fault diagnosis  Feature fusion  Multi-feature  Convolutional Neural Network (CNN)  Light Gradient Boosting Machine (LightGBM)  
Recognition of Muscle Fatigue Status Based on Improved Wavelet Threshold and CNN-SVM 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Wang, Junhong;  Sun, Yining;  Sun, Shaoming
收藏  |  浏览/下载：53/0  |  提交时间：2020/12/28
Muscles  Fatigue  Feature extraction  Wavelet analysis  Support vector machines  Noise reduction  Training  Convolutional neural network-support vector machine (CNN-SVM)  muscle fatigue  sEMG  wavelet threshold  
面向农作物病害识别的高阶残差卷积神经网络研究 期刊论文
中国科学技术大学学报, 2019, 卷号: 49
作者:  曾伟辉;  李淼;  张健;  黄小平;  王敬贤;  袁媛
收藏  |  浏览/下载：38/0  |  提交时间：2020/10/26
crop disease recognition  high-order residual(HOR)  robustness  convolutional neural network(CNN)  农作物病害识别  高阶残差  鲁棒性  卷积神经网络  
Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring 期刊论文
MATERIALS & DESIGN, 2018, 卷号: 156, 页码: 458-469
作者:  Zhang, Yingjie;  Hong, Geok Soon;  Ye, Dongsen;  Zhu, Kunpeng;  Fuh, Jerry Y. H.
收藏  |  浏览/下载：80/0  |  提交时间：2019/11/11
Additive manufacturing (AM)  Powder-bed fusion  Melt pool, plume and spatter  Statistical process monitoring  Support vector machines (SVM)  Convolutional neural network (CNN)