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自动化研究所 [16]

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	ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition 期刊论文 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 87, 页码: 9 作者: Fan, Cunhang; Xie, Heng; Tao, Jianhua; Li, Yongwei; Pei, Guanxiong 收藏 \| 浏览/下载：9/0 \| 提交时间：2023/11/15 Electroencephalogram Emotion recognition Capsule network Residual Long-Short Term Memory
	Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer 会议论文 Gold Coast Convention and Exhibition Centre Queensland, Australia, 2023-06-18 作者: Wanqing Jiang; Gaofeng Meng; Tianzi Jiang; Nianming Zuo 收藏 \| 浏览/下载：10/0 \| 提交时间：2023/06/20 Electroencephalogram (EEG), emotion recognition, multi-source domain adaptation, subject-independent
	A pixel-level deep segmentation network for automatic defect detection 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11 作者: Yang, Lei; Xu, Shuai; Fan, Junfeng; Li, En; Liu, Yanhong 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/02/22 Defect detection Deep convolutional neural network U-shape network ConvLSTM network
	ResLNet: deep residual LSTM network with longer input for action recognition 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 6 作者: Wang, Tian; Li, Jiakun; Wu, Huai-Ning; Li, Ce; Snoussi, Hichem 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/03/01 action recognition deep learning neural network
	ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Luo, Guiyang; Zhang, Hui; Yuan, Quan; Li, Jinglin; Wang, Fei-Yue 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/25 Roads Correlation Feature extraction Sensors Deep learning Convolution Sensor phenomena and characterization Traffic forecasting graph convolutional network spatial-temporal networks
	TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 1373-1388 作者: An, Tai; Zhang, Xin; Huo, Chunlei; Xue, Bin; Wang, Lingfeng 收藏 \| 浏览/下载：36/0 \| 提交时间：2022/03/17 Transformers Superresolution Satellites Remote sensing Task analysis Deep learning Image resolution Deep learning end-to-end networks feature extraction and fusion multiimage super-resolution (MISR) remote sensing transformers
	Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging 期刊论文 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 71, 页码: 10 作者: Liu, Shuaiqi; Zhao, Ling; Zhao, Jie; Li, Bing; Wang, Shui-Hua 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/12/28 Attention deficit hyperactivity disorder Resting functional magnetic resonance imaging Classification Convolutional gated recurrent unit
	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration
	TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388 作者: An T(安泰); Zhang X(张鑫); Huo CL(霍春雷); Xue B(薛斌); Wang LF(汪凌峰) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/01/17 Deep learning end-to-end networks feature extraction and fusion multiimage super-resolution (MISR) remote sensing transformers
	Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks 期刊论文 REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22 作者: Li, Lianfa; Wu, Jiajie 收藏 \| 浏览/下载：27/0 \| 提交时间：2021/03/15 OMI-NO2 columns Imputation of missing values Full residual deep network Bagging Ground-level NO2 estimation Traffic and land-use variables Uncertainty

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