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自动化研究所 [8]

沈阳自动化研究所 [6]

兰州理工大学 [3]

深圳先进技术研究院 [2]

地理科学与资源研究所 [2]

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浏览/检索结果: 共27条，第1-10条

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	Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach 期刊论文 Expert Systems with Applications, 2023, 卷号: 213, 页码: 9 作者: M. L. Bie; Y. Y. Liu; G. N. Li; J. T. Hong and J. Li 收藏 \| 浏览/下载：10/0 \| 提交时间：2023/06/14
	Localization of Myocardial Infarction From 2D-VCG Tensor With DSC-Net 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 10 作者: Xiong, Peng; Li, Kunlin; Zhang, Jieshuo; He, Cong; Du, Haiman 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Index Terms-2-D-vectorcardiogram (2D-VCG) depthwise separable convolutional myocardial infarction (MI) vectorcardiogram (VCG)
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 1167-1181 作者: Yu, Yingying; Cao, Zhiqiang; Liu, Zhicheng; Geng, Wenjie; Yu, Junzhi 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/06 Grasping Robot kinematics Manipulators Image segmentation Deconvolution Machine learning Global deconvolution network (GDN) robotic grasping simultaneous detection and segmentation two-stream grasping convolutional neural network (CNN)
	A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 卷号: 33, 期号: 1, 页码: 1-17 作者: Wang Y(王煜); Gao J(高洁); Wang W(王伟); Du JS(杜劲松); Yang X(杨旭) 收藏 \| 浏览/下载：9/0 \| 提交时间：2021/11/08 domain adaptation bearing fault diagnosis adversarial network attention mechanism
	Wild Animal Information Collection Based on Depthwise Separable Convolution in Software Defined IoT Networks 期刊论文 ELECTRONICS, 2021, 卷号: 10, 期号: 17, 页码: 16 作者: Cao, Qinghua; Yu, Lisu; Wang, Zhen; Zhan, Shanjun; Quan, Hao 收藏 \| 浏览/下载：47/0 \| 提交时间：2021/12/01 information collection internet of things deep neural network SDN object detection
	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 收藏 \| 浏览/下载：17/0 \| 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
	快速3D-CNN结合深度可分卷积对高光谱图像分类期刊论文计算机科学与探索, 2021, 页码: 12 作者: 王燕; 梁琦收藏 \| 浏览/下载：10/0 \| 提交时间：2021/06/03 高光谱图像分类空谱特征提取 3D-CNN 深度可分离卷积深度学习
	Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310 作者: Yue-Yan Qin 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/04/22 Fire detection depthwise separable convolution fire classification You Only Look Once version 3 (YOLOv3) target regression
	Hyperspectral Image Classification Using a Hybrid 3D-2D Convolutional Neural Networks 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 7570-7588 作者: Ghaderizadeh, Saeed; Abbasi-Moghadam, Dariush; Sharifi, Alireza; Zhao, Na; Tariq, Aqil 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/11/05 Feature extraction Three-dimensional displays Convolution Solid modeling Hyperspectral imaging Kernel Convolutional neural networks Convolutional neural network (CNN) deep learning hyperspectral image (HSI) classification spectral-spatial features

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